Identification of muscle parasite in Yellowtail Kingfish (Seriola lalandi) and Mahi Mahi (Coryphaena hippurus), and determination as to the efficacy of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment

Project number: 2017-020
Project Status:
Completed
Budget expenditure: $19,867.77
Principal Investigator: Andrew J. Forrest
Organisation: Department of Primary Industries (QLD)
Project start/end date: 2 Jul 2017 - 30 Oct 2018
Contact:
FRDC

Need

Industry stakeholders have a need to prevent fish infected with these parasites, being further traded through the value chain. However, identifying an appropriate level of technology will be the challenge to stakeholders. Such technology will need to be cost effective, non-destructive, rapid and relatively simple to use.

Stakeholders also need to identify the parasites concerned for both species, and identify technology capable of screening out such infected fish is required in the processing environment. The work proposed here will identify the parasite concerned for both species, identify appropriate technology applicable is a regional processing environment, and trial such technology at the place of processing in NSW.

Objectives

1. Determine the efficacy of ultra sound imaging to detect muscle parasites in Yellowtail kingfish and Mahi mahi (proof of concept).
2. Conduct field trials of the US technology on site in a commercial fish processing facility to determine suitability to that environment and determine the threshold of detection of each parasite
3. Identify species of muscle parasite affecting Yellowtail Kingfish and Mahi Mahi from northern NSW waters.
4. Establish rate of incidence of identified muscle parasites in Yellowtail Kingfish and Mahi Mahi.

Final report

ISBN: NA
Author: Andrew Forrest
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date
Final Report • 2019-11-01 • 761.73 KB
2017-020-DLD.pdf

Summary

Yellowtail kingfish (Seriola lalandi) and Mahi mahi (Coryphaena hippurus) are actively targeted by fishers in the warmer waters of northern NSW. Both species are becoming increasingly important to local fishers with escalating demand due to increased consumer awareness of the premium eating quality both species. YTK specifically is receiving a significant increase in consumer awareness and market penetration; primarily as a sushi and sashimi product. Consumers of such products rightly have very high expectations of the sensory qualities for such products.

Incidents of muscle parasite infections that cause muscle softening in both species have been reported with increasing frequency in recent years. These parasites cause fishers to lose money in the short term by way of buyer reimbursement. However both species are now experiencing a loss of buyer confidence which has also reduced the market price to wholesalers. These issues of product confidence are now threatening the viability and thus the continuation of this fishery. 
 
This project sought to investigate the use of non-invasive screening technology for the purpose of identifying infected fish in a commercial fish processing environment. However, dude to a lack of available parasitised fish the project was terminated at the first milestone. This report constitutes a summary of the research that has occurred to date

Related research

Industry
People
Industry

Implications of current spatial management measures on AFMA ERAs for habitats

Project number: 2014-204
Project Status:
Completed
Budget expenditure: $191,289.19
Principal Investigator: Roland C. Pitcher
Organisation: CSIRO Oceans and Atmosphere Hobart
Project start/end date: 17 Jul 2014 - 29 Dec 2015
Contact:
FRDC

Need

In response to the EPBC Act, related regulations and international obligations, AFMA has moved beyond target species to an ecosystem-based approach to managing Commonwealth fisheries — aiming for broader environmental sustainability including for bycatch species, habitat and communities. Typically, a risk based approach is being taken for this purpose. Research has demonstrated that demersal fishing gears can impact seabed habitats and communities, which consequently are considered potentially at risk. Accordingly, ecological risk assessments (ERAs) for habitats have been conducted for the major Commonwealth fisheries. However, these ERAs were interim in nature, and non-spatial, largely due to inadequate data for most fisheries. More recently, new data and methods have become available that would permit an advancement of these assessments; and further, new management has been implemented — including effort management, fishery closures and the Commonwealth Marine Reserve System (CMRS) — that may change the level of potential risk. Thus, AFMA has identified a need to extend the ERAs covering habitats and communities, taking into account the new information, methods and management. In particular, AFMA has specified a priority requirement for a gap analysis to determine the extent to which individual fishery ERAs, and hence ERM, need to address habitats following the finalisation of the CMRS network and considering other fishery management measures in place, including effort reduction & closures. It is this latter priority need that this proposal addresses. Note that while there is some uncertainty around the timing and scope of the government review of CMRS, the need addressed by this proposal remains a priority for AFMA due to the significant fishery management measures that have been implemented in recent years.

Objectives

1. Capitalize on recently collated data and mapped distributions of predicted demersal assemblages and associated habitats — as well as data for Commonwealth demersal fishing effort, fishery closures and marine reserves — to provide:
2. - quantification of the overlap of fishing effort and intensity with each mapped assemblage/habitat,
3. - quantification of the overlap of each mapped assemblage/habitat with areas of spatial management that exclude fishing, such as closures and reserves,
4. - a gap analysis and prioritization of which mapped assemblages/habitats, and in which fisheries, may require future focus for AFMAs fishery ERAs.
5. - qualitative assessment of the potential risk implications for any habitat forming biota (if/where data available) in assemblages with high exposure to fisheries, given current spatial management.

Final report

ISBN: 978-1-4863-0685-5
Authors: Roland Pitcher Nick Ellis Franziska Althaus Alan Williams Ian McLeod Rodrigo Bustamante Robert Kenyon Michael Fuller
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 
Final Report • 2016-06-01 • 2.38 MB
2014-204-DLD.pdf

Summary

In this project, CSIRO researchers implemented the first Australia-wide spatial approach to quantifying the exposure of mapped seabed assemblages to the footprints of Commonwealth demersal trawl fisheries, as well as their spatial protection in areas closed to trawling. These outputs are assisting AFMA in understanding the contributions of existing spatial management measures to environmental sustainability, and to identify and prioritise any remaining needs for addressing risks to habitats. The focus provided by these priorities is intended to reduce the costs of environmental assessments, ultimately having outcomes including reduction of the ecological risks posed by trawling and enhanced environmental sustainability. Trawling footprints were mapped from fishery effort data for recent years. Protection provided by current spatial management included fishery closures, the Commonwealth Marine Reserve system (CMRs), and some other Marine Protected Areas (MPAs). Seabed assemblages — as surrogates for broad habitats — were defined and mapped using a single consistent method that had not been possible previously, but was now enabled by new advances in analyses and the availability of new data & knowledge. The overlaps of each assemblage with trawl footprints, and with areas closed to trawling, were calculated to quantify trawl exposure and spatial protection. 

Seafood CRC: wanted Dead or Alive: Novel Technologies for Measuring Infectious Norovirus Particles

Project number: 2011-726
Project Status:
Completed
Budget expenditure: $37,401.80
Principal Investigator: Valeria Torok
Organisation: SARDI Food Safety and Innovation
Project start/end date: 14 Jun 2015 - 29 Jan 2016
Contact:
FRDC

Need

Regulatory agencies in major seafood markets are increasingly requiring testing for viruses. Enforcement using current PCR methods has potential to cost Australian seafood businesses millions of dollars through trade disruptions and product detention. PCR methods have one serious drawback – they detect non infectious viruses of negligible human health consequence, resulting in the risk of “false positives”.

Norovirus cannot be cultured in cells, despite years of intensive effort; therefore we propose a different approach to resolving the problem. This proposal is to utilise existing knowledge about norovirus cell surface receptors to develop state-of-the-art optical sensing technology to better estimate the infectivity of noroviruses, thereby reducing risk of “false positives” and punitive regulatory action.

This demanding project brings together high calibre, internationally renowned scientists. People committed are:
Professor Tanya Monro (Director, Institute of Advanced Sensing) who recently won the SA Scientist of the Year award for creation of new tools and innovative solutions; and
Assoc. Prof. TuckWeng Kok and Dr Rod Ratcliff (SA Pathology), eminent virologists.

The new technology and international collaboration proposed, will create a platform to detect and effectively manage other viruses and foodborne hazards in seafood and other food, environmental and biological products – and has significant commercialisation potential.

This project is strongly supported by CRC participants, industry and regulators. It addresses Seafood CRC Output 2.2 ‘Diagnostic systems to assure seafood quality and integrity’, which needs greater effort for milestones (2.2.2. and 2.2.6) to be met.

Objectives

1. Develop sensor surface functionality of the SPR technology to improve discrimination between infectious and non-infectious NoV viruses

Final report

ISBN: 978-1-876007-06-5
Authors: Valeria A Torok Kate Hodgson Alison Turnbull and Catherine McLeod
Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Final Report • 2017-04-01 • 1.73 MB
2011-726-DLD.pdf

Summary

Noroviruses are common causes of gastroenteritis in humans. As with all pathogens with an oral – faecal transmission path, food can easily become contaminated. Oysters in particular can become contaminated with norovirus due to effluent flows into estuaries. Hence, the importance of fast and accurate tests for the presence of norovirus in oysters is constantly increasing. Currently, testing for foodborne viruses are laboratory based molecular methods, which although sensitive, do not discriminate between infective and non-infective viral particles.  Biosensors (biological sensors) may be able to overcome this barrier and might be suitable for real-time sensing and on-site monitoring. This project aimed to develop a functional biosensor for the detection of norovirus in shellfish.

Sentinel sensors: revolutionising our understanding and management of the estuarine environment

Project number: 2016-023
Project Status:
Completed
Budget expenditure: $253,737.00
Principal Investigator: John McCulloch
Organisation: CSIRO Oceans and Atmosphere Hobart
Project start/end date: 31 Dec 2016 - 28 Mar 2019
Contact:
FRDC

Need

Our current understanding of environmental and anthropogenic impacts on marine life, whether farmed or wild, is limited by a lack of technology to directly measure the perception and responses of the animals themselves. Molluscs have been used as “biological early warning systems” because their swift behavioural response to environmental stressors is predictive of impending effects on other organisms in the ecosystem. Despite this potential, a lack of appropriate technology has prevented measurements of real-time data from animals in parallel with environmental monitoring. This project will demonstrate the utility of using sentinel animals with novel biosensors to provide early warning information on the health and status of the marine environment. Human health monitoring relies on ‘vital signs’, this project will measure the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided will allow direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.

Objectives

1. Demonstrate an operational network of sentinel molluscs providing real-time streaming of physiological and behavioural data providing a biological perspective of the environment.
2. Improve the local economy’s capacity to install, operate and maintain real-time, telemetered, environmental sensing systems by demonstrating the commercial operation of telemetered water quality sensor system over an extended 12 month period by a commercial operator.
3. Demonstrate that aspects of the ecosystem can be represented in real-time using sentinel animal data.
4. Provide an educational outreach program to encourage a generation of people interested in the marine environment and marine science.

Final report

ISBN: 978-1-925994-09-4
Author: John McCulloch; Daniela Farias Aqueveque; Ashfaqur Rahman; Daniel Hugo; Md Mashud Rana
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.

Project products

Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture
Final Report • 2020-06-02 • 4.85 MB
2016-023-DLD.pdf

Summary

This study, undertaken by CSIRO Oceans and Atmosphere, examines the usefulness of mussels as sentinels for environmental change using a novel biosensor. This project measured the vital signs of heart rate and behaviour in sentinel animals, as they respond to multiple and interacting changes in the environment. Such complex monitoring is not possible with infrequent water sample analysis, and the lack of real-time sensors for all potential stressors creates the need for a world-first rapid biological response system. The “animal-eye” view provided allows direct measurements of how animals perceive and respond to their changing environment, thus removing the guesswork in trying to predict ecosystem health based solely on environmental monitoring data. This project aligns with, and adds value to, existing environmental and ecosystem monitoring and modelling research, and provides the crucial missing piece in the puzzle – the biological response to environmental change. The project will demonstrate the utility of using sentinel animals to develop more meaningful predictions and decision support systems for all users of the ecosystem. The research will link physiological and behavioural responses of bio-filtering molluscs to more traditional water quality measurements, to produce a more complete picture of environmental changes and ecosystem health.
Scientific publication

Summary

The following paper has been published:
M. Rana, A. Rahman, D. Hugo, J. McCulloch, and A. Hellicar, “Investigating data-driven approaches
to understand the interaction between water quality and physiological response of sentinel oysters in
natural environment,” Accepted for publication at Elsevier Computers and Electronics in Agriculture