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  • Digital Twin for Marine Fish Farming

    Digital Twin for Marine Fish Farming by O'Donncha, Fearghal; Føre, Martin; Grant, Jon;

    Series: Aquatic Production Systems;

      • GET 12% OFF

      • Publisher's listprice EUR 213.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        88 752 Ft (84 526 Ft + 5% VAT)
      • Discount 12% (cc. 10 650 Ft off)
      • Discounted price 78 102 Ft (74 383 Ft + 5% VAT)

    78 102 Ft

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    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 6 April 2026

    • ISBN 9783032103611
    • Binding Hardback
    • No. of pages287 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XXII, 287 p. 74 illus., 66 illus. in color.
    • 700

    Categories

    Long 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.

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    Table of 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.

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