1. A survey on fish classification techniques;Alsmadi;Journal of King Saud University - Computer and Information Sciences,2022
2. Banno, K., Gonçalves, F. M. F., Anichini, M., Gansel, L. C., & da Silva Torres, R. (2022). Automatic Detection of Growth-Stunted Phenotype in Farmed Atlantic Salmon: A New Insight into Quantify their Distribution and Bahaviour based on a Machine Learning Approach. In Aquaculture europe 2022 conference abstracts (pp. 70–71). URL https://eposters.blob.core.windows.net/eas-eposters/AE2022AbstractBook.pdf.
3. Healthy and loser salmon dataset;Banno,2024
4. A novel approach for wild fish monitoring at aquaculture sites: Wild fish presence analysis using computer vision;Banno;Aquaculture Environment Interactions,2022
5. Emerging indicators of fish welfare in aquaculture;Barreto;Reviews in Aquaculture,2022