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  • Deep Learning in Plant Science and Agricultural Biotechnology

    Deep Learning in Plant Science and Agricultural Biotechnology by Chen, Jen-Tsung;

    Series: CABI Biotechnology Series;

      • Publisher's listprice GBP 150.00
      • 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.

        71 662 Ft (68 250 Ft + 5% VAT)

    71 662 Ft

    db

    Availability

    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 CAB International
    • Date of Publication 15 December 2025

    • ISBN 9781836991106
    • Binding Hardback
    • No. of pages376 pages
    • Size 244x172 mm
    • Weight 666 g
    • Language English
    • 700

    Categories

    Short description:

    This wide-ranging book introduces the fundamentals of deep learning models and their current applications across a diversity of topics in agricultural biotechnology, crop science and plant biology.

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    Long description:

    This book introduces the fundamentals of deep learning models and their current applications in a diverse range of subtopics in plant sciences and agriculture.

    Areas covered include: functional genomics, multiple omics, stress physiology, plant disease diagnosis, plant-microbe interactions, and high-throughput technologies (phenotyping and synthetic biology).

    Deep-learning models are also being used in developing pest and weed control strategies, the use of unmanned aerial vehicles in agriculture, greenhouse management and strategies for stress-smart and sustainable precision agriculture.

    This book offers an ideal reference for readers in a range of research fields in plant biology, plant pathology, and agricultural crop sciences. It is designed to be an inspiration for new ideas and future experiments to advance the progress of stress-smart and sustainable agriculture.

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