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    Полное описание

    Internet of Things and machine learning in agriculture : technological impacts and challenges / edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. - Berlin ; Boston : Walter de Gruyter GmbH, 2021. - 9 p. : ill. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=b665af23fc3707fbfa24f576876d313f. - Includes bibliographical references and index. - ISBN 9783110691276. - ISBN 3110691272. - ISBN 9783110691283. - ISBN 3110691280. - Текст : электронный.
    ГРНТИ УДК
    47.01621.38
    50004

    Рубрики:
    Agriculture -- Data processing
    Internet of things
    Artificial intelligence -- Agricultural applications
    Machine learning
    Agriculture -- Informatique
    Internet des objets
    Intelligence artificielle -- Applications agricoles
    Apprentissage automatique
    COMPUTERS / Information Technology
    Agriculture -- Data processing
    Internet of things
    Electronic books
    Электроника
    Информационные технологии

    Аннотация: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
    Доп. точки доступа:
    Jain, V.\editor.\
    Chatterjee, J.\editor.\
    Kumar, A.\editor.\
    Rathore, P.\editor.\

    Полный текст


    Держатели документа:
    Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1237869791)

    Шифр в сводном ЭК: 4bcef14b564e1895a25da489492ed68c



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