A Picture is Worth a Thousand Words: Identifying Shark Bycatch using Artificial Intelligence
Channel: Food and Agriculture Organization of the United Nations
Date: 07/10/2021

Sharks are known to be important predators in every environment they inhabit, yet most remain poorly studied. This is especially true of deep-sea sharks where most are data deficient, and 20 percent have yet to be described. Data from commercial fishing vessels is critical for researchers and policy makers, but constraints make it difficult for observers to collect the necessary information. Issues with proper identification of deep-sea sharks is the first and foremost hinderance blocking the flow of data from at-sea observers to researchers and policy makers. We believe that the solution is through technological innovation. By pairing traditional taxonomy, genetics, and information management systems with artificial intelligence, we hope to create a direct line of data from deepwater fishing vessels to researchers and policy makers.

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