This TFM proposal aims to leverage advanced deep learning models to analyze fish feeding behavior, with a focus on optimizing the feeding process in aquaculture to reduce food wastage and financial expenses. The project will involve the analysis of recorded videos from aquaculture facilities capturing fish behavior before, during, and after feeding. The student will study and develop a model for automated fish feeding behavior analysis using the state-of-the-art deep learning techniques. Futhermore, the insights derived from this analysis will guide the optimization of the feeding process and the implementation of an automated feeder within aquaculture facilities.
Responsable: Enmin Zhong [email@example.com]