
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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Prepaid orders onlyThe 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.