Smart Technologies for Transforming Next-Generation Agriculture: Deep Learning, IoT and Blockchain

Editors: Shefali Arora Chouhan, Nagendra Pratap Singh, Banalaxmi Brahma, Shashank Gupta

Smart Technologies for Transforming Next-Generation Agriculture: Deep Learning, IoT and Blockchain

ISBN: 979-8-89881-193-8
eISBN: 979-8-89881-192-1 (Online)

Introduction

Agriculture is rapidly evolving with smart technologies that make farming more efficient, secure, and sustainable. Smart Technologies for Next-Generation Agriculture breaks down how Deep Learning, IoT, and Blockchain are revolutionising crop care, livestock husbandry, yield prediction, and farm security through applied research and real-world use cases.

The book also highlights challenges like data safety, environmental risks, and ethical concerns while exploring emerging frontiers such as nanotechnology and AI-driven disease detection in key crops.

Key Features

  • - Detect crop diseases using deep learning and ensemble models.
  • - Optimise yield prediction using big data analytics.
  • - Empower livestock monitoring using IoT sensors.
  • - Strengthen animal welfare with smart husbandry systems.
  • - Enable farm traceability using blockchain networks.
  • - Secure agricultural IoT systems with AI-based cybersecurity.
  • - Improve precision farming using device-to-device communication.

Target Readership:

Researchers, agriculture technologists, and farm innovators; also valuable for postgraduate students and policymakers exploring sustainable digital agriculture solutions.

Preface

Agriculture is the backbone of human civilization, providing sustenance and economic stability to billions around the globe. However, as the world grapples with challenges like climate change, population growth, and diminishing resources, the need for innovative solutions to revolutionize agricultural practices has never been more urgent. The convergence of advanced technologies, including Deep Learning, the Internet of Things (IoT), and Blockchain, has opened new horizons for next-generation agriculture, transforming traditional methods into intelligent, sustainable, and efficient systems.

This book, “Smart Technologies for Transforming Next-Generation Agriculture: Deep Learning, IoT, and Blockchain, explores the transformative potential of these cutting-edge technologies in addressing the multifaceted challenges faced by the agricultural sector. It delves into the integration of artificial intelligence for predictive analytics, IoT devices for real-time monitoring, and blockchain for transparency and traceability in supply chains.

Each chapter provides insights into the latest advancements, practical implementations, and the socio-economic impact of these smart technologies. The contributions from leading researchers and practitioners highlight case studies, applications, and emerging trends that showcase the potential of smart agriculture in enhancing productivity, sustainability, and profitability.

This book is intended for a diverse audience, including researchers, academicians, industry professionals, policymakers, and students. It serves as a comprehensive resource for understanding the synergy between technology and agriculture, paving the way for a future where innovation meets sustainability.

We are thankful to all our authors for contributing their insights in the form of chapters, which will inspire readers to embrace and contribute to the transformative journey of agriculture through smart technologies, ensuring food security and environmental preservation for generations to come. We are also grateful to our professional editors, Tushti and Sakshi, for their editing and proofreading of the book.

Shefali Arora Chouhan
Department of Computer Science and Engineering
Dr. BR Ambedkar National Institute of Technology
Jalandhar, Punjab-144008, India

Nagendra Pratap Singh
Department of Computer Science and Engineering
Dr. BR Ambedkar National Institute of Technology
Jalandhar, Punjab-144008, India

Banalaxmi Brahma
Department of Computer Science and Engineering
Dr. BR Ambedkar National Institute of Technology
Jalandhar, Punjab-144008, India

&

Shashank Gupta
Department of Computer Science and Engineering
Dr. BR Ambedkar National Institute of Technology
Jalandhar, Punjab-144008, India