Enhancing Sustainability in Fish Farming through Artificial Intelligence: An Analytical Review of AI Applications in Broodstock Management and Smart Feeding Systems

Sustainable fish farming has become an important practice in order to meet the increasing demand for high-quality aquaculture products and the need to reduce environmental impacts. The study was done by analysing recent research and practical applications of AI tools such as deep learning tools, computer vision, IoT-based monitoring, and predictive analytics used in aquaculture. In broodstock management AI can help in precise selection of species, health assessment of the stock, prediction of reproductive maturity, and monitoring the behaviour of stock. The review highlights how AI, when integrated into aquaculture systems, can enhance productivity, increase resource utilization, and aid in making proper decisions by binding to the principles of sustainability. Finally, the paper also identifies current challenges, technological gaps, and future directions for integrating AI across aquaculture systems, emphasizing its ability to change the sector into a more efficient and sustainable system.