Last week, the annual Fisheries Science Seminar, organized by the Directorate-General for Maritime Affairs and Fisheries (DG MARE) in Brussels, brought together experts and researchers in the field of AI applied to fisheries management.
Ivan Masmitjana, a member of the Institute of Marine Sciences (ICM), was invited to present research focused on the application of AI algorithms for analyzing marine and fisheries data. Although the presentation primarily focused on this work, Ivan also highlighted and cited the PLOME project, where we are exploring the use of AI to improve the sustainability of fisheries.
The project focuses on using Reinforcement Learning (RL) to enhance the autonomy of marine vehicles in tracking underwater targets using limited information, such as range data. These techniques are particularly useful for studying the behavior of species like the Norway Lobster, providing data that can improve the management of Marine Protected Areas (MPAs) and contribute to the sustainability of fisheries.
