Preface 
About the Authors
1 Basics of Artifi cial Intelligence and Machine Learning
2 Applications of AI in Fisheries Genetics 
3 Introduction to AI in Water Quality Assessment and Management 
4 AI-driven Innovations in Aquaculture 
5 AI for Fish Nutrition and Feed Development 
6 AI-enabled Fisheries Stock Assessment and Management
7 AI-driven Innovations in Fish Health and Disease Management 
8 Data Analytics and Integration in Fisheries Science
9 Ethical and Societal Considerations in AI Applications
10 Future Directions and Emerging Trends 
11 AI in news - AI Applications in Fisheries Management
Contents