Digital Twin for Marine Fish Farming

Herausgegeben:O'Donncha, Fearghal; Føre, Martin; Grant, Jon

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Aquatic Production Systems
• Verlag: Springer, Berlin; Springer
• Artikelnr. des Verlages: 89199961
• Seitenzahl: 270
• Erscheinungstermin: 20. April 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032103611
• ISBN-10: 3032103614
• Artikelnr.: 75533857

Autorenporträt

Fearghal O'Donncha: Fearghal is a Research Scientist and Technical Lead at IBM Research Europe – Ireland. His work focuses on applying AI, hybrid cloud, accelerated discovery, and quantum computing to real-world challenges. A core research interest is the development of human-centred digital twin technologies for environmental systems such as ships, ports, and fish farms. These virtual models allow rapid exploration of different management and environmental scenarios, helping to identify optimal strategies. He is a Chartered Engineer and holds a PhD from the National University of Ireland, Galway. Fearghal has published over 80 scientific articles and he holds more than 50 patents. He leads global patenting in AI Engineering at IBM. Martin Føre: Martin is an associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Engineering Cybernetics. He holds an MSc (2006) and a PhD (2011) within Engineering Cybernetics from NTNU and before rejoining NTNU in 2019, he worked as a Research Scientist/Senior Research Scientist at SINTEF Ocean. Throughout his research career, he has specialised towards the application of cybernetic methods and control systems components in aquaculture situations, and he had a central role in the development of the Precision Fish Farming (PFF) concept for finfish aquaculture. Jon Grant: Jon was a Professor of Oceanography at Dalhousie University (Canada). He earned his BSc in Zoology from Duke University in 1976 and his PhD in Biology from the University of South Carolina in 1981. Grant joined Dalhousie as a NATO Postdoctoral Fellow in 1981, became a Full Professor of Oceanography in 1997, and held multiple positions that reflected his international leadership in aquaculture research. He was an outstanding scientist, publishing over 200 scientific papers and supervising more than 50 Master's and PhD students.

Inhaltsangabe

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.