PROJECT NUMBER
•
2021-030
PROJECT STATUS:
CURRENT
ORGANISATION:
Western Rock Lobster Council Inc (WRLC)
SPECIES
104 results
PROJECT NUMBER
•
2021-022
PROJECT STATUS:
CURRENT
ORGANISATION:
Curtin University
PROJECT NUMBER
•
2021-020
PROJECT STATUS:
COMPLETED
Stable isotopes: a rapid method to determine lobster diet and trace lobster origin?
Scientists at IMAS conducted a stable isotope study on Southern Rock Lobster (Jasus edwardsii) collected from Southern Australian sites to determine whether or not capture site could be determined post-harvest.
ORGANISATION:
University of Tasmania
SPECIES
Toolbox for the estimation of fish population abundance
Project number:
2021-007
Project Status:
Current
Budget expenditure:
$175,000.00
Principal Investigator:
Alistair Hobday
Organisation:
CSIRO Oceans and Atmosphere Hobart
Project start/end date:
31 Jul 2023
-
29 Aug 2024
Contact:
FRDC
Abundance estimates are used both directly and indirectly in stock assessment processes to support fishery management. Australia’s fisheries research agencies all estimate fish population abundance in some way. These include genetic and conventional tagging, acoustics (active and passive), trawl and egg surveys, as well as using proxies of abundance such as catch. Each of these methods have benefits, biases and caveats linked to the method and to the fish species being assessed. For example, differences between life history and habitat can make an abundance estimation method that has worked for one species unsuitable for another. As the application of each method of estimating abundance is potentially species/scenario specific, potential use by researchers and managers can be fraught.
In developing or proposing an abundance estimate for use in fisheries assessment, researchers must have a clear understanding of the assessment framework in order to make sure that an abundance estimate can be used. Claims such as “this time series can then be used in stock assessment” must be verified by funding agencies (particularly beyond FRDC) and defensible. Proliferation of abundance estimation methods without links to the assessment process will not yield an expected benefit beyond knowledge accumulation.
A project is needed to capture the range of methods of estimating abundance for management purposes, and specify the conditions of use, limitations and readiness level for operational use. A decision tree and methods ‘toolbox’ that describes the techniques, their relative strengths and weaknesses will help researchers and managers identify the best suited abundance estimate approach, and guide research effort to overcome known weaknesses.
The development of a ‘toolbox’ of techniques would be used to inform:
1. techniques available to estimate abundance
2. suitability of them to different conditions such as life history, and data availability
3. requirements of the technique such as methods used, prerequisite expertise, data and cost; and
4. circumstances under which the technique can be used.
This project would also identify potential new approaches and technologies that might complement or replace current ones.
1. To document the various methods available to fisheries managers for estimating abundance.
2. To document a cost / benefit / needs and requirements basis for the various methods available to fisheries managers for estimating abundance.
3. Develop a ‘toolbox’ to disseminate details of fit-for-purpose methods of estimating abundance to fisheries managers and management agencies, that will informi. the techniques that are available to estimate abundanceii.the suitability of the technique to different scenarios such as life history parameters of species, data availability (or absence), assumed low population sizeiii.the requirements of the technique such as methods used, pre-requisite expertise, data and costiv.under what circumstances can the technique be used and the underlying assumptions.
4. To identify potential new (and non-lethal) approaches and emerging technologies that may offer an opportunity for capturing fishery dependent data that can be used to estimate abundance
Australian Agrifood Data Exchange (OzAg Data Exchange): Deliver an interconnected data highway for Australia's AgriFood value chain - Proof of concept
Project number:
2020-126
Project Status:
Completed
Budget expenditure:
$344,500.00
Principal Investigator:
Irene Sobotta
Organisation:
Meat and Livestock Australia (MLA)
Project start/end date:
23 Sep 2021
-
30 May 2024
Contact:
FRDC
TAGS
Although the use of data and analytics is becoming more widespread across agricultural industries and institutions, the sector is held back by the lack of a consolidated data platform that combines multiple data sets from multiple data sources in real time. Other technology
and data challenges compromising the strength of the Australian agriculture industry include:
Businesses often need to access multiple data systems/datasets which are stored across various platforms and functions and are not well integrated. Aggregating and reconciling these datasets require manual intervention, is rife with errors/duplication and require significant effort to ensure uptake across the business in order to lead to tangible analytics outcomes. This interoperability challenge is commonplace across the industry today.
Data is not shared between the various stakeholders within the industry at times leading to analysis been taken place with incomplete datasets and other times for duplication of efforts with varying results. Data sharing/collaborating culture which would be backed by an established data governance framework including protocols/policies for data access, privacy, definition and standards, would uplift the industry analytical capabilities.
Challenges in understanding where to prioritise efforts to best support the industry. With significant opportunities for data-driven use cases across the value chain, defining the prioritisation of funding and efforts to build capabilities is a critical challenge for industry bodies and governments. The OzAg DX could enable consolidated, integrated and standardised data, to help reduce the labour intensive effort of collecting and analysing data to make better informed prioritisation decisions on deployment of limited support resources and capabilities.
A slow take up of digital technologies is slowing agricultural productivity growth. As Australia looks to achieve the target of $100 billion farm gate output by 2030, digital agriculture is expected to contribute up to an additional $20 billion annually to the gross value of agricultural production.
1. Exchange data efficiently on agreed terms with trusted service providers or other interested parties such as government and researchers
2. Enable Australia's agrifood sector to access and take full advantage of the huge amounts of data that is being generated and efficiently transfer their data across the value chain
3. Reduce costly inefficiencies, poor collaboration, wasteful use of critical managerial time and loss of opportunities caused by disparate, siloed and proprietary data systems
Presentation
Presentation
•
14.10 MB
Experiment 4 Demo – compliance and traceability for rock lobster quota in Western Australia by Telstra IBM.pdf
Pain point:
The delay in exchange and reconciliation of catch data by fishers and processors means that there is a delay in quota accounting which impacts planning due to lack of timely information. Furthermore, with no access to pre-fishing information data to the processors means they are unable to plan logistics for efficient transportation. In addition, longer term ambitions of an end-to-end product traceability system will require a reliable data exchange between inputs, production and logistics.
Experiment:
To demonstrate the timely flow of pre-fishing information, quota accounting data, and product (catch) data from WA DPIRD (Fisheries management agency) to Fishers and Processors in a secure and permissioned manner to allow for better logistics planning, and data from Fishers and Processors to DPIRD to enable timely quota consumption accounting.
The delay in exchange and reconciliation of catch data by fishers and processors means that there is a delay in quota accounting which impacts planning due to lack of timely information. Furthermore, with no access to pre-fishing information data to the processors means they are unable to plan logistics for efficient transportation. In addition, longer term ambitions of an end-to-end product traceability system will require a reliable data exchange between inputs, production and logistics.
Experiment:
To demonstrate the timely flow of pre-fishing information, quota accounting data, and product (catch) data from WA DPIRD (Fisheries management agency) to Fishers and Processors in a secure and permissioned manner to allow for better logistics planning, and data from Fishers and Processors to DPIRD to enable timely quota consumption accounting.
Project products
PROJECT NUMBER
•
2020-119
PROJECT STATUS:
CURRENT
ORGANISATION:
Curtin University
PROJECT NUMBER
•
2020-111
PROJECT STATUS:
COMPLETED
Accelerating the adoption of digital technology on Queensland prawn farms
The Prawn Farmers Digital Skills Hub is free and available at the CQU website link. The hub will provide the Australian prawn farming industry with access to education and training in the digital skills required to accelerate the adoption of current and emerging technologies. The Prawn Farmers...
ORGANISATION:
Australian Prawn Farmers Association (APFA)
SPECIES
Developing innovations with Australian wild catch fisheries
Project number:
2020-054
Project Status:
Current
Budget expenditure:
$50,000.00
Principal Investigator:
Clayton M. Nelson
Organisation:
Austral Fisheries Pty Ltd
Project start/end date:
30 Jun 2020
-
30 Jun 2021
Contact:
FRDC
PROJECT NUMBER
•
2019-144
PROJECT STATUS:
COMPLETED
ORGANISATION:
University of Adelaide
PROJECT NUMBER
•
2019-112
PROJECT STATUS:
CURRENT
ORGANISATION:
CSIRO Oceans and Atmosphere Hobart
TAGS
SPECIES
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