Fish Feeding Intensity Assessment

Assessing fish feeding intensity is crucial for optimizing aquaculture productivity and sustainability. Current research focuses on developing automated systems using computer vision (e.g., YOLOv8) and multimodal data fusion (combining audio and video) to accurately determine optimal feed amounts based on real-time fish behavior and environmental conditions. These advancements leverage deep learning models, including transformers and novel unified architectures, to improve accuracy and efficiency compared to traditional manual methods. The resulting improvements in feeding management promise significant economic and environmental benefits for the aquaculture industry.