This research article examines the current state of artificial intelligence (AI) within the aquaculture industry, highlighting its transformative potential and various applications. It identifies challenges currently facing aquaculture, including disease, feed costs, and environmental concerns, and explores how AI can address these issues through monitoring, disease detection, feed optimization, and reproduction management. The review further investigates commercially available AI-enabled products and the obstacles hindering the broader adoption of AI technologies, such as acquisition costs and the lack of technical expertise. Finally, the study proposes future research directions to improve productivity and sustainability in aquaculture systems, emphasizing the importance of making existing AI solutions affordable, reliable, and accessible. The authors conclude that AI can revolutionize aquaculture through continued collaboration between technologists, farmers, and policymakers, emphasizing the need to solve AI adoption challenges before creating new AI applications.REF:

Fernandes, S., DMello, A., 2025. Artificial intelligence in the aquaculture industry: Current state, challenges and future directions. Aquaculture 598, 742048. https://doi.org/10.1016/j.aquaculture.2024.742048