Fish feeding behavior recognition and intensity quantification methods in aquaculture: From single modality analysis to multimodality fusion
This is an incremental review paper that synthesizes existing research to guide future work in aquaculture management.
This paper reviews existing methods for fish feeding behavior recognition and intensity quantification in aquaculture, comparing single-modality approaches (computer vision, acoustics, sensors) and emerging multimodal fusion techniques, while analyzing their advantages and disadvantages.
As a key part of aquaculture management, fish feeding behavior recognition and intensity quantification has been a hot area of great concern to researchers, and it plays a crucial role in monitoring fish health, guiding baiting work and improving aquaculture efficiency. In order to better carry out the related work in the future, this paper firstly analyzes and compares the existing reviews. Then reviews the research advances of fish feeding behavior recognition and intensity quantification methods based on computer vision, acoustics and sensors in a single modality. Meanwhile, the application of the current emerging multimodal fusion in fish feeding behavior recognition and intensity quantification methods is expounded. Finally, the advantages and disadvantages of various techniques are compared and analyzed, and the future research directions are envisioned.