Capabilities

  • Capabilities | Development of Artificial Intelligence applications for fisheries management

    Development of Deep Learning algorithms that allow automating fisheries monitoring processes and reducing time and costs compared with processing by human observers. The applications developed range from innovative systems for real-time remote electronic monitoring, which identify and quantify total catches of fishing vessels (e.g., iObserver), to new image recognition techniques that allow individually identifying fish and estimating population parameters. 

     

  • Capabilities | Fisheries stock assessment using traditional and molecular ecology approaches

    Development of stock assessment models to estimate fish population status and Maximum Sustainable Yields for fisheries, based on fishing pressure data and population dynamics parameters (abundance, distribution, age, fecundity, etc.) obtained using traditional approaches and -omic techniques, which allow for a much higher spatial resolution. 

     

  • Capabilities | Assessment of the survival of fisheries by-catch and fish spatial ecology using biotelemetry techniques

    Use of acoustic tags and biotelemetry techniques to monitor fish behavior and assess the survival of fisheries by-catch.

     

Active projects