- ホーム
- > 洋書
- > 英文書
- > Nature / Ecology
Full Description
This book synthesises the role of data, modelling, and Artificial Intelligence in aquaculture. It explains how these technologies can be used to construct a "digital twin" ‒ a virtual representation of a fish farm ‒ that provides operators with deeper insights into farm processes, helps identify efficiency pathways, and supports the study of performance issues.
The book outlines the fundamental components of a marine digital twin, including data collection, data processing, and data generation. It discusses the diverse datasets generated on farms and how these can be interrogated using Artificial Intelligence and numerical simulation to extract valuable insights. Several real-world case studies are presented to illustrate these approaches in practice.
Contents
Part I. On the Farm.- Chapter 1. Fish Health and Welfare Monitoring for Potential Digital Twins.- Chapter 2. Aquaculture Robotics - Challenges, Opportunities and Future Prospects and the Role of Digital Twin Technology and Autonomous Solutions.- Part II. In the Cloud.- Chapter 3. Machine Learning in Fish Farming.- Chapter 4. Simulation Modelling and Analysis for Aquaculture.- Chapter 5. Hybrid Analysis and Modeling for Aquaculture.- Part III. Precision Fish Farming.- Chapter 6. Digital Twin for Aquaculture.- Chapter 7. Climate Change, Marine Aquaculture, and the Digital Twin.- Chapter 8. Supply Chain for Aquaculture.- Chapter 9. Future of Intensive Pen Aquaculture.