Artificial Intelligence (AI) is revolutionizing the aquaculture industry by introducing innovative solutions to enhance productivity, efficiency, and sustainability. Adopting AI technologies such as machine learning, computer vision, and predictive analytics, AI transforms aquaculture operations. It enables precise optimization of feeding practices, comprehensive monitoring of fish health, analyses patterns in fish behaviour, such as swimming speed, schooling behaviour, and feeding activity and effective management of water quality. AI-powered systems deliver real-time data and actionable insights, supporting proactive decision-making, and advancing automated monitoring, disease detection, and environmental management. This leads to significant reductions in operational costs while enhancing fish resilience to diseases through optimized stocking densities and improved management practices.AI enhances productivity and sustainability by enabling accurate monitoring, resource management, and proactive decision-making. Adhering to industry standards and best practices for data security is crucial to mitigate risks and ensure responsible data management. This review paper examines successful AI implementations and case studies, discusses the challenges faced, and explores the future prospects of AI in aquaculture, highlighting its potential to drive growth and sustainability within the industry

Artificial Intelligence, Aquaculture, Fish health monitoring, Feeding optimization, Water quality management, Sustainable aquaculture

Artificial intelligence has emerged as a transformative force in the aquaculture industry, offering solutions to longstanding challenges and paving the way for a more sustainable and efficient future. Through advancements in machine learning, computer vision, and predictive analytics, AI enables precise monitoring, optimal resource management, and proactive decision-making, significantly enhancing productivity and sustainability in aquaculture operations. Quickly, integrating artificial intelligence (AI) with modern aquaculture is a game-changing advance in boosting productivity and efficiency rates of the industry while maintaining its sustainability. AI for fish farms according to several studies, AI can be used not only in real-time water quality and fish health monitoring but also feeding regime as well growth pattern prediction. The benefits of these improvements reduce costs and, more importantly, mitigate negative environmental impacts related to unsustainable problems such as overfishing or depletion. With aquaculturists able to use machine learning and smart sensors as part of AI technologies, they can help make data-driven decisions. Moreover, the ability of AI to aid in disease diagnosis and timely feed management underscores its use towards sustainability aquaculture practices.As technology advances, AI integration in aquaculture is expected to evolve, addressing emerging issues such as climate change impacts, disease outbreaks, and market demands. Continued innovation and adoption of AI will contribute to the growth of a resilient and responsible industry, ensuring the sustainable production of seafood to meet the needs of a growing global population. The ongoing collaboration between researchers, industry stakeholders, and policymakers will be crucial in unlocking the full potential of AI in aquaculture and achieving a balance between economic growth and environmental stewardship. Despite such promising advancements, challenges exist in the extensive use of AI in aquaculture. Such as the cost of rolling an AI solution, need for technical knowledge or integrating it into existing system complexities in order to leverage its benefits fully. At every step, ongoing R&D and technology integration with support of aquaculture stakeholders will be necessary to address these challenges. Exciting times lay ahead, as the aquaculture industry sets off to grow at scale; fuelled by AI-disruptions that have potential to significantly increase efficiency and sustainability across species. As seafood needs explode around the globe, we will increasingly depend on AI to satisfy them sustainably. Continued development of AI technologies for aquaculture will eventually result in more robust and adaptive farming systems, ultimately contributing to a more sustainable food supply chain

Inab Majeed Bala, Tabish Farooq, Gowhar Iqbal, Arya Singh and Maharshi Limbola (2024). The Role of Artificial Intelligence (AI) in Modern Aquaculture: Applications, Advances, Challenges and Future Prospects. Biological Forum – An International Journal, 16(9): 29-38