*Corresponding Author: Agniva Pradhan, Department of Fish Nutrition, F.F.Sc, WBUAFS, Kolkata, India.

Received: May 08, 2023; Published: May 31, 2023

Abstract

In this study, the use of computer vision and artificial intelligence technology is examined as a means of improving the efficacy and sustainability of fish feeding in aquaculture. The proposed approach employs machine learning techniques to estimate feeding requirements and optimise feeding schedules, while image analysis is employed to track fish behaviours and appetite. The method aims to increase the growth and health of fish while reducing waste and the environmental impact of aquaculture operations.

Keywords: Fish Feeding; Aquaculture; Sustainability; Optimization; Machine Learning; Artificial Intelligence; Computer Vision

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Citation

Citation: Agniva Pradhan. “The Power of AI in Fish Feeding and Behavior Management: A Comprehensive Review". Acta Scientific Veterinary Sciences 5.6 (2023): 90-95.

Copyright

Copyright: © 2023 Agniva Pradhan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.