A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science

Aquaculture is gaining importance due to the increasing population and food demand. However, one of the biggest challenges in the sector is the need for innovative technologies. Artificial intelligence (AI) offers important solutions in environmental process management, early disease detection, water quality monitoring and optimizing feeding strategies. This study examines the evolution of AI in aquaculture by analyzing 202 publications in the Web of Science database between 1998 and 2024. Academic productivity has increased rapidly in recent years, reaching 64 articles in 2024. The most common document types are “Articles” (124) and “Reviews” (41), with research focused on environmental disciplines such as Fisheries (41) and Marine Freshwater Biology (29), as well as technical fields such as Engineering Electrical Electronics (26) and Computer Science (25). The leading journals are Aquaculture and Computers and Electronics in Agriculture. China (52) and the US (28) are the top contributors, with Li Daoliang (7 publications) being the most prolific author. Keyword analysis reveals central themes such as “Aquaculture” (66), “Artificial Intelligence” (61), and “Machine Learning” (36), while concepts such as “Smart Fish Farming” and “Sustainability” indicate a shift toward technology-driven green solutions. Citation networks reveal strong connections but some fragmentation. The findings suggest that AI is increasing its role in the industry, encouraging sustainability and collaboration.