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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.

Foreword

In an age of rapid technological progress, agriculture—the bedrock of human civilization—is undergoing a profound transformation. The fusion of deep learning, the Internet of Things (IoT), and blockchain technology is revolutionizing the sector, offering innovative solutions to challenges in security, sustainability, and resource management. Smart Technologies for Transforming Next-Generation Agriculture: Deep Learning, IoT, and Blockchain serves as a guiding light for researchers, practitioners, and policymakers striving for a more intelligent, data-driven, and resilient agricultural future.

The agricultural sector faces pressing challenges, including climate change, resource scarcity, and a rising global population. Addressing these issues requires a seamless blend of traditional farming expertise and cutting-edge technological advancements. Deep learning empowers predictive analytics for crop yield optimization, pest management, and weather forecasting. IoT devices facilitate real-time monitoring and automation, while blockchain ensures transparency, traceability, and trust throughout agricultural supply chains.

This book moves beyond theoretical exploration, offering practical applications, real-world case studies, and forward-thinking insights that are shaping the future of agriculture. It demonstrates how these technologies empower farmers, enhance productivity, and foster sustainable practices—bridging the gap between innovation and implementation.

As we step into a new era of agricultural transformation, this work serves as a comprehensive guide to leveraging smart technologies for the benefit of humanity. It stands as a testament to the limitless possibilities that lie ahead and a call for collaboration among technologists, farmers, and policymakers to build a sustainable future.

I applaud the authors and editors for their vision and dedication to advancing agricultural technology. This book will undoubtedly inspire its readers to think creatively and act decisively, paving the way for a smarter and more sustainable farming landscape.


M.P.S Bhatia
Netaji Subhas University of Technology
Delhi, India