Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture

Artificial Intelligence in Agriculture

by Rocky Thokchom, Satyarath Sonkar, Shubham Namdev Dhawale, Durgesh Kumar Maurya and Hemant Kumar

Format:

Paperback and E-book

Pages:

327

ISBN:

978-93-47456-77-0

800.00

"AI in Agriculture" explores the transformative intersection of ancient farming wisdom and cutting-edge technology, offering a comprehensive roadmap for leveraging Artificial Intelligence to build a more resilient, data-driven, and sustainable global food system.

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About This Book

About the Authors

The challenge of feeding a rapidly growing global population in the face of climate change, dwindling resources, and supply chain fragility represents one of humanity's most pressing concerns. Traditional agricultural methods, while foundational to civilization, are struggling to keep pace with the demand for more food, more sustainably. This imperative demands a new approach—a fundamental revolution in how we cultivate the land and manage our livestock. This book, "AI in Agriculture" is dedicated to exploring the transformative power of Artificial Intelligence (AI) as the pivotal technology driving this next agricultural revolution, often referred to as Smart Farming or Agriculture 4.0. We stand at an exciting intersection where the ancient wisdom of farming meets the cutting-edge capabilities of machine learning, computer vision, and robotics.

This volume aims to be a comprehensive guide for researchers, practitioners, students, and policymakers navigating this dynamic field. It moves beyond theoretical concepts to present practical applications and real-world case studies from using deep learning models for precise crop disease detection and automated weed management to leveraging drone based imaging for yield prediction and optimizing irrigation schedules via IoT sensor data analysis. We delve into the crucial technologies that enable AI in the field, including precision agriculture, robotics, big data analytics, and the Internet of Things (IoT), detailing how their convergence allows farmers to make data-driven, hyperlocal decisions. However, this text also critically examines the significant challenges to widespread AI adoption, such as data quality, infrastructure gaps, high implementation costs for smallholder farmers, and the critical issues of ethical AI deployment and data privacy. By providing a balanced and in-depth exploration of both the opportunities and the obstacles, our hope is that this book serves not only as a resource for technical knowledge but as an inspiration for new innovations that will help secure a more productive, efficient, and resilient food system for the future. May the insights within these pages illuminate the path toward a smarter, greener, and more sustainable world.