Growing Smarter with Deep Learning: AI Solutions for Plant Health

Editors: Nagendra Pratap Singh, Shefali Arora Chouhan, Prashant Kumar, Prem Kumari Verma

Growing Smarter with Deep Learning: AI Solutions for Plant Health

ISBN: 979-8-89881-862-3
eISBN: 979-8-89881-861-6 (Online)

Introduction

Growing Smarter with Deep Learning: AI Solutions for Plant Health explores the transformative role of artificial intelligence in modern agriculture, covering smart crop production, plant and soil health, disease diagnosis, UAV applications, surveillance and sustainable farming. It examines machine learning, deep learning, computer vision, YOLO-NAS, and hyperspectral imaging, offering researchers, students, agricultural scientists, agronomists and practitioners valuable insights into precision, intelligent and data-driven agricultural systems.


Key Features

  • - Multidisciplinary coverage of AI-enabled agriculture.
  • - Contemporary deep learning and computer vision techniques.
  • - UAV-based agricultural applications and surveillance.
  • - Soil and plant health assessment, disease detection.
  • - Hyperspectral image analysis for precision farming.

Target Readership :

Researchers, academicians, postgraduate and doctoral students, agricultural scientists, AI/ML professionals, agronomists, technology developers and policymakers engaged in precision and sustainable agriculture.

Preface

Plant health has always been a cornerstone of successful farming and food production. Yet, as the global population continues to grow and climate change introduces new challenges, ensuring the vitality of our crops has become increasingly complex. This book, “Growing Smarter with Deep Learning: AI Solutions for Plant Health,” explores the exciting convergence of artificial intelligence and plant care, offering innovative solutions for optimizing how we monitor, predict, and enhance the health of plants.

Deep learning, a subset of artificial intelligence, has made extraordinary advancements in recent years, enabling machines to recognize patterns and predict outcomes with remarkable accuracy. In plant health, these breakthroughs can help farmers, scientists, and agricultural professionals detect diseases early, manage resources efficiently, and even predict pest outbreaks before they occur.

This book is designed for anyone interested in harnessing the power of deep learning to address pressing issues in plant health. Whether you are a farmer looking for smarter ways to manage crops, a researcher diving into AI applications, or simply someone curious about the future of agriculture, the chapters ahead will equip you with the knowledge and tools to leverage AI in the service of plant well-being.

We will explore the science behind deep learning algorithms, showcase real-world applications of AI in agriculture, and discuss the ethical implications and challenges of integrating such advanced technologies into everyday farming practices. By the end of this journey, I hope you will understand how AI can help plants grow healthier and be inspired to apply these insights in ways that contribute to a more sustainable and resilient agricultural future.

Nagendra Pratap Singh
Department of Computer Science & Engineering
Dr B R Ambedkar National Institute of Technology
Jalandhar, Punjab, India

Shefali Arora Chouhan
Department of Computer Science & Engineering
Dr B R Ambedkar National Institute of Technology
Jalandhar, Punjab, India

Prashant Kumar
Department of Computer Science & Engineering
Dr B R Ambedkar National Institute of Technology
Jalandhar, Punjab, India

&

Prem Kumari Verma
Department of Computer Science & Engineering
Dr B R Ambedkar National Institute of Technology
Jalandhar, Punjab, India