Editors: Raghavendra M. Devadas, Vani Hiremani, Praveen Gujjar Jagannath, Lubna Ambreen, Harold Andrew Patrick

Sustainable Agriculture Applications Using Large Language Models

eBook: US $49 Special Offer (PDF + Printed Copy): US $79
Printed Copy: US $54
Library License: US $196
ISBN: 979-8-89881-019-1 (Print)
ISBN: 979-8-89881-018-4 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988101841250101

Introduction

Sustainable Agriculture Applications Using Large Language Models examines how AI-powered tools can enhance decision-making, resource optimization, and knowledge dissemination across diverse agricultural contexts. Spanning topics from crop management and pest control to water conservation and market analysis, the book features a multidisciplinary approach including real-world applications and case studies. It highlights how LLMs can support sustainable practices by analyzing agricultural data, improving communication with farmers, and enabling predictive insights. Special attention is given to ethical considerations and the responsible deployment of AI tools in rural and technologically evolving regions.

Key Features:

  • - Demonstrates how LLMs support sustainable agriculture practices
  • - Showcases AI-driven approaches in crop, pest, and water management
  • - Presents real-world applications and case studies across regions
  • - Explores ethical considerations and responsible AI deployment in agriculture
  • - Analyzes LLM integration in agricultural education, communication, and policy


Readership:

Agricultural professionals, researchers, data scientists, and technologists seeking to harness AI for sustainable farming.

Foreword

In an era marked by rapid technological advancement and evolving agricultural challenges, the integration of technology into farming practices has become increasingly imperative. As we stand at the intersection of agriculture and innovation, the book "Sustainable Agriculture Applications Using Large Language Models" emerges as a beacon of insight and guidance for agricultural professionals, researchers, policymakers, and practitioners alike.

This book, meticulously crafted by a team of experts, offers a comprehensive exploration of how technological innovations, including Large Language Models (LLMs), can revolutionize sustainable farming practices. By delving into topics ranging from precision agriculture to data analytics and the ethical considerations surrounding technology adoption, the authors provide readers with a roadmap to navigate the complexities of modern agriculture.

At its core, this book embodies the spirit of collaboration and inclusivity, drawing upon diverse perspectives and real-world examples to illuminate the path forward. By showcasing the transformative potential of technology in agriculture, it inspires readers to embrace innovation while upholding principles of environmental stewardship and social responsibility.

As we embark on this journey of exploration and discovery, let us heed the insights offered within these pages and work together to cultivate a future where technology catalyzes sustainable agricultural development. May this book inspire meaningful change, empowering us all to build a more resilient, equitable, and prosperous agricultural landscape for generations to come.

Guru Prasad M.S.
Department of Computer Science and Engineering
Graphic Era (Deemed to be University)
Dehradun, India

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