Use artificial intelligence (Machine Learning) technology to improve fish stock reporting and research across the NT.
This initiative is adapting the concepts and digital features embedded in object recognition technology to identify fish species.
The technology is initially being used in limited areas and will be considered for broader application if it proves successful.
Object recognition technology concepts have the potential to streamline field work, improve and efficiently capture fish stock data to provide valuable information about local fish populations and fisheries.
In the future this is likely to benefit the fishing industry and local recreational fishers.
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