Artificial Intelligence in Fisheries Management and Monitoring

Dear Colleagues,

This Special Issue examines the transformative impact of artificial intelligence on modern fisheries. It focuses on how machine learning, computer vision and deep learning are enabling the transition from traditional methods to data-driven stewardship. The Issue covers both theoretical advances and practical applications of artificial intelligence technologies in addressing key fisheries challenges.

Specific areas of interest include:

Automated Species Identification and Catch Monitoring: Development of robust computer vision systems for analyzing imagery from diverse sources, including underwater vehicles, drones and landing sites.

Behavioral Analysis and Aquaculture Management: Application of artificial intelligence to understand fish behavior, migration patterns and welfare in both wild and farmed environments, supporting conservation and production efficiency.

Illegal Fishing Detection: Integration of multi-source satellite data using machine learning to identify suspicious vessel activities and enhance maritime surveillance capabilities.

Predictive Stock Assessment: Use of machine learning to incorporate environmental data into stock assessment models, improving forecasting and management strategy evaluation.

Integrated Decision-Support Systems: Development of comprehensive artificial intelligence platforms that combine monitoring, analysis and forecasting components to support fisheries management.

This Issue aims to bridge the gap between theoretical artificial intelligence potential and practical implementation in fisheries. We seek contributions demonstrating robust, scalable solutions that move beyond preliminary proofs-of-concept. The collection will highlight how artificial intelligence technologies enhance operational efficiency, monitoring accuracy and sustainability in fisheries management. By showcasing applicable research and addressing implementation challenges, this Special Issue will help consolidate the emerging field of artificial intelligence in fisheries. It provides a reference for researchers and practitioners working to develop the next generation of intelligent fisheries management systems.

Dr. Jian Zhao
Dr. Sachinandan Dutta
Guest Editors

Manuscript Submission Information

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