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Full Description
Aquaculture with Artificial Intelligence: Emerging Technologies for Sustainable Industry Development will play in aquaculture and aquaculture-adjacent sectors in the coming years. The aquaculture industry faces various challenges, including environmental concerns, disease management, and resource optimization, and integrating AI into aquaculture practices can improve industry efficiency, sustainability, and overall productivity. This book explores how AI technologies such as machine learning for predictive analytics, computer vision for monitoring aquatic environments, and robotics for automated tasks can streamline various aspects of aquaculture requiring monitoring, management, and decision-making. Aquaculture with Artificial Intelligence: Smart Aquaculture is co-authored by a diverse team of experts bridging disciplines in aquaculture, aquatic immunology, biotechnology, and artificial intelligence. Early chapters provide a thorough introduction to the aquaculture industry to provide critical context for all audiences. Central chapters explore machine learning, bioimaging, drone technology, bioengineering, OMICs technologies, big data, and other AI technologies emerging in aquaculture. Global case studies highlight the practical applications of AI to various aspects of aquaculture operations, including automated feeding, water quality monitoring, disease protection, and precision aquaculture. The book concludes with a look to the future of the industry, research gaps, and opportunities for continued research. This is an essential read for aquaculturists, environmental scientists, data scientists, and roboticists interested in the intersection of aquaculture and AI.
Contents
1. Aquaculture - An introductory text
2. Technological update in aquaculture
3. Smart aquaculture and digitalizing
4. Introducing artificial intelligence in aquaculture
5. Learning algorithms of artificial intelligence and machine learning for aquaculture
6. Bioimaging and artificial intelligence integration for aquaculture disease control and monitoring
7. Artificial intelligence integrating drone technology for feeding
8. Enhancing aquatic animal health with artificial intelligence-integrated bioengineering
9. Handling Internet of Things in aquaculture
10. OMICS technologies for aquaculture
11. Aquaculture drug design using artificial intelligence and machine learning methods
12. Block chain, cloud, and big data for aquaculture
13. Aquaculture and artificial intelligence integration into industrial aspects
14. Future directions
