AI in Aquaculture Management

Artificial Intelligence (AI) has become an emerging technological tool that is transforming various 
sectors including aquaculture and fisheries. This study explores how AI is being applied to improve monitoring, 
feeding, disease detection, stock assessment and overall farm management. The research aims to understand the 
extent of awareness, usage, benefits and challenges associated with implementing AI-based systems in aquatic 
environments. A descriptive research design was adopted and data was collected through a Google Form 
questionnaire from 50 respondents including students, fish farmers and individuals associated with aquatic 
studies. 
The findings of the study highlight that AI significantly enhances productivity by enabling accurate yield 
prediction, real-time monitoring of fish behavior and automated feeding that reduces resource wastage. 
Additionally, AI tools support sustainability by improving water-quality management and minimizing human 
errors. However, the study also identifies several limitations such as high installation costs, lack of technical 
knowledge, limited datasets and difficulties in integrating AI with traditional farming practices. Despite these 
challenges, respondents believe that AI has strong potential to revolutionize the aquaculture and fisheries sector 
in the future. Advanced technologies such as underwater drones, predictive analytics and machine-learning 
systems can further strengthen sustainable, efficient and profitable aquaculture practices.