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Scrivener Publishing
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Beverly, MA 01915-6106
Publishers at Scrivener
Martin Scrivener ([email protected])
Phillip Carmical ([email protected])
The Digital Agricultural Revolution
Innovations and Challenges in Agriculture through Technology Disruptions
Edited by
Roheet Bhatnagar
Nitin Kumar Tripathi
Nitu Bhatnagar
and
Chandan Kumar Panda
This edition first published 2022 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-82333-9
Cover image: Pixabay.Com
Cover design by Russell Richardson
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
10 9 8 7 6 5 4 3 2 1
Preface
The practice of agriculture began in ancient civilizations and farmers have always contributed to nation-building by growing produce to feed an ever-growing population. Moreover, agriculture is the foundation of an economy, providing livelihoods for millions of farmers. Therefore, there is a need for synergy between application of modern scientific innovation in the area of artificial intelligence (AI) and agriculture, while taking into consideration the major challenge brought on by climate change, viz., rising temperatures, erratic rainfall patterns, emergence of new crop pests, droughts, floods, etc. The intent of this edited volume is to report high-quality research (practical theory, including prototype and conceptualization of ideas, frameworks, real-world applications, policies, standards, psychological concerns, case studies and critical surveys) on recent advances toward the realization of a digital agricultural revolution resulting from the convergence of different disruptive technologies.
This book highlights the latest achievements in the field of modern agriculture, which is highly driven by technology and aimed at sustainable agriculture. In it is a collection of original contributions by researchers/ academicians from across the globe regarding state-of-the-art solutions using newer methods to enhance and improve crops for smart agriculture. These solutions are arrived at by various means, as indicated in the topics covered in the twenty chapters described below.
– Chapter 1 presents an overview of how AI helps to increase socio-economic and environmental sustainability in the Indian agricultural sector. It also highlights the AI practices incorporated by farmers in India with small and medium-sized agricultural lands.
– Chapter 2 describes the high efficacy of using remote sensing images and neural network models to generate accurate crop yield maps and offers proof of the significant superiority of neural network models over conventional methods.
– Chapter 3 discusses the use of intelligent irrigation systems, which have recently gained importance in terms of efficient cultivation of plants and the correct use of Earth’s