203 results
Industry
PROJECT NUMBER • 2017-077
PROJECT STATUS:
COMPLETED

Research, Development and Extension Strategic Planning Workshop for NSW Commercial Fishing Industry

This project is aimed to develop a New South Wales (NSW) Commercial Wild Catch Fishing Industry research Development & Extension (RD&E) Strategic Plan for 2018-2023 to ensure relevant and strategic priorities are set for the industry. The plan was based on the development of a...
ORGANISATION:
Professional Fishers Association (PFA)
Industry
PROJECT NUMBER • 2019-060
PROJECT STATUS:
COMPLETED

The Detection of Ciguatera Toxins in NSW Spanish Mackerel

Ciguatera Poisoning (CP) is an illness through the consumption of fish containing naturally occurring toxins, and is considered a high risk for Australian seafood safety. Ciguatoxins (CTXs) are produced by benthic microalgae (Gambierdiscus spp). In Australia, CP cases are related to fish caught in...
ORGANISATION:
University of Technology Sydney (UTS)
Industry
PROJECT NUMBER • 2018-087
PROJECT STATUS:
COMPLETED

Maximising the value of the NSW Longfin Eel catch through a whole of supply chain approach - Stage 1

Following a dramatic drop in demand for live wild-caught eels (Longfin Eel, Anguilla Reinhardtii) to be exported from NSW to China, fishing efforts have significantly reduced, and the fishery is now classed as underutilised. At the same time, there is a global shortage of eels, with demand...
ORGANISATION:
Honey and Fox Pty Ltd
Industry
PROJECT NUMBER • 2018-024
PROJECT STATUS:
COMPLETED

Investigation and improvement of live Blue Swimmer Crab handling in NSW

This report presents pivotal findings from an in-depth investigation into optimising live handling practices for the commercial Blue Swimmer Crab (Portunus armatus) industry in New South Wales (NSW), with the overarching goal of unlocking high-value live trade opportunities. Initiated in...
ORGANISATION:
Department of Primary Industries (QLD)
Industry

Developing automated data cleansing and validation processes for fisheries catch and effort data

Project number: 2017-085
Project Status:
Current
Budget expenditure: $397,750.00
Principal Investigator: Karina C. Hall
Organisation: Department of Primary Industries and Regional Development (NSW)
Project start/end date: 21 Dec 2017 - 29 Jun 2020
Contact:
FRDC

Need

During a recent national Fisheries Statistics Working Group meeting, data managers from all Australian states highlighted and discussed the likely high prevalence of inaccurate or fraudulent data supplied by fishers and accrued through data-entry errors. Current data quality control measures in each jurisdiction are largely heterogeneous, undocumented and often rely on manual checks by clerks or analysts that are labour intensive and costly and not routinely executed. Because many of these checks occur during manual data entry of paper-based records, these are likely to become obsolete as reliance on electronic reporting increases, with data entered directly by fishers through online portals or mobile applications.

There is a need to develop automated data cleansing and diagnostic procedures that can be applied post-hoc or retrospectively to large fisheries databases to detect and flag errors and outliers and provide subsets of reliable catch and effort data for stock assessments and other analyses. This project will contribute towards addressing these issues, by developing automated processes to routinely assess newly entered fisheries catch and effort data for errors, retrospectively quantify error rates in existing data and assess their likely influence on the outputs of stock assessment analyses. The outcomes will help improve the quality and accuracy of catch and effort data used in routine stock assessments, and in turn lead to more sustainable management of wild capture fisheries resources.

Objectives

1. Review existing data quality control and cleansing processes applied to fisheries catch and effort databases in all state and commonwealth jurisdictions.
2. Develop a suite of generic algorithmic and statistical approaches to detect and flag different error types (e.g., anomalous, missing and outlying values) in fisheries catch and effort relational databases.
3. Trial the above approaches with several case-study fisheries datasets to assess the performance of different data cleansing approaches, quantify error rates and types and assess the sensitivity of catch and effort statistics to these errors and outliers.
4. On the basis of the above findings, recommend a standard national approach for data cleansing and validation of fisheries catch and effort data.
5. Customise and integrate the generic approaches into NSW fisheries database systems to implement automated data cleansing processes.
6. Extend the results of the project to fishers and industry representatives to encourage greater accuracy in fisheries catch and effort data reporting.
Communities
PROJECT NUMBER • 2016-251
PROJECT STATUS:
COMPLETED

Market study to assist target seafood marketing campaign to restore consumer confidence after Hunter River fishing closure due to contamination

In early September 2015 the discovery of a chemical contamination around the Williamtown RAAF base in the NSW Hunter Valley was made public The NSW Environment Protection Authority warned that chemicals perfluorooctane sulfonate ( and perfluorooctanoic acid ( had been found in surface...
ORGANISATION:
Intuitive Solutions
Environment
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