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Instant Insights: Artificial Intelligence applications in agriculture

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SKU:
9781801466257
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  • Product Details

    Author:
    Dr Leisa Armstrong, Dr N. Gandhi, Dr P. Taechatanasat, Dr Dean Diepeveen, Prof Stefano Carpin, Dr Ken Goldberg, Dr Stavros Vougioukas, Dr Ron Berenstein, Dr Josh Viers, Dr Jose Blasco, Dr María Gyomar González Gonzále...
    Format:
    Paperback
    Pages:
    112
    Publisher:
    Burleigh Dodds Science Publishing (April 18, 2023)
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781801466257
    ISBN-10:
    1801466254
    Weight:
    5.76oz
    Dimensions:
    5.98" x 9" x 0.24"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260218163344-20260218.xml
    Folder:
    TWO RIVERS
    List Price:
    $49.99
    Series:
    Burleigh Dodds Science: Instant Insights
    Case Pack:
    20
    As low as:
    $47.49
    Publisher Identifier:
    P-PER
    Discount Code:
    H
    Pub Discount:
    35
    Imprint:
    Burleigh Dodds Science Publishing
  • Overview

    This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.

    The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.

    The second chapter examines how robotic and AI can be used to improve precision irrigation in vineyards. The chapter pays particular attention to robot-assisted precision irrigation delivery (RAPID), a novel system currently being developed and tested at the University of California in the United States.

    The third chapter reviews the current state of mechanized collection technology, such as the development of harvest-assist platforms, as well as the possibilities of these machines to incorporate artificial vision systems to perform an in-field pre-grading of the product.

    The final chapter explores the emergence of the automated assessment of plant diseases and traits through new sensor systems, AI and robotics. The chapter then considers the application of these digital technologies in plant breeding, focussing on smart farming and plant phenotyping.