HARNESSING COMPUTER VISION TO ASSESS DIET PALATABILITY: THE CASE OF RAINBOW TROUT Oncorhynchus mykiss FED DIETARY INSECT MEAL

Image processing and computer vision technologies play a crucial role in fish detection, encompassing species identification, population estimation, and behavior analysis (Pennington et al., 2019 ; Yang et al., 2021) . While black soldier fly larvae meal (Hermetia illucens) (BSF) has gained traction as a dietary component in laboratory fish trials (Tran et al., 2022) , the behavior of fish fed different dietary BSF remains largely underexplored. This study investigated the feed preference of rainbow trout (Oncorhynchus mykiss) fed four diets containing 0%, 2.5%, 5%, and 10% dietary BSF meal using computer vision and open-source video analysis.