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Journal Articles
Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

WV Scott Charitable Trust - Research Grant

Addressing urgent welfare concerns for Blackspotted Croaker (Protonibea diacanthus) populations in Queensland

Indicative Funding
$50,000
Summary
The Blackspotted Croaker (also known as black jewfish) is targeted by commercial, recreational, indigenous and charter fishing groups. Since 2017 there has been a rapid increase in targeted commercial fishing effort for Blackspotteed Croaker in Queensland. Given the high value of Blackspotteed Croaker, their vulnerability as aggregating species and the absence of a stock assessment to inform how many populations need to be managed, updated biological/ecological information (Including stock structure) are needed for assessment and protection of Blackspotted Croaker stock(s) in Queensland. The study aims at identifying stock structure and connectivity (including aggregation time) in order to improve management of th species across Queensland.
Investigators
Marcus Sheaves, Adam Barnett, Carlo Mattone and Michael Bradley (College of Science & Engineering)
Keywords
Population Genetic Structure; Fisheries Management; Epinephelus nigritus (Serranidae); Blackspotted Croaker

WA Department of Primary Industries and Regional Development - Contract Research

Identification of benthic structure using machine learning

Indicative Funding
$36,200 (administered by Wa Department of Primary Industries and Regional Development)
Summary
The Project aims at automating the classification of benthic structure and biota from images using machine learning
Investigators
Marcus Sheaves, Bronson Philippa, Carlo Mattone and Michael Bradley (College of Science & Engineering)
Keywords
Benthic Assessment; Machine Learning

MAKO Tidal Turbines Pty Ltd - Contract Research

Barney Point Turbine Monitoring

Indicative Funding
$27,457
Summary
Monitoring surface video, underwater video, underwater acoustic and sidescan data streams using AI (January-April 2019) (including monthly regular reporting, final reporting and feasibility analysis), to assess whether the tidal turbine impacts fish and other aquatic organisms during its operations.
Investigators
Marcus Sheaves, Carlo Mattone and Dmitry Konovalov (College of Science & Engineering)
Keywords
Artificial Intelligence; Impact Assessment; Tidal turbine monitoring

World Wide Fund for Nature, Australia - Consultancy

Queensland Coral Reef Fin Fish Fishery Electronic Observer

Indicative Funding
$6,000
Summary
To understand the value of a new technique for collecting critical fisheries information regarding target, bycatch and threatened species interactions in the coral reef fin fish fishery through electronic observation and machine learning.
Investigators
Marcus Sheaves and Carlo Mattone (College of Science & Engineering)
Keywords
Artificial Intelligence; Fisheries Management; Line Fishers

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