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.

Preface

Welcome to “Sustainable Agriculture Applications Using Large Language Models.” This book represents a collaborative effort aimed at shedding light on the transformative potential of technology in agriculture and providing practical guidance for its integration into sustainable farming practices.

In recent years, the agricultural sector has faced unprecedented challenges, from population growth and resource depletion to climate change and food insecurity. In response, there has been a growing recognition of the need to embrace technological innovation as a means of addressing these challenges while promoting environmental sustainability and socio-economic development.

At the heart of this book lies a commitment to exploring the intersection of technology and agriculture, with a particular focus on the applications of Large Language Models (LLMs). Through a series of insightful chapters, we delve into topics such as precision agriculture, data analytics, and the ethical considerations surrounding technology adoption, offering readers a comprehensive understanding of the opportunities and challenges inherent in leveraging technology for sustainable farming.

Throughout this journey, we draw upon diverse perspectives and real-world examples to illustrate the potential impact of technology on agriculture and inspire readers to embrace innovation in their own farming practices. Whether you are a seasoned agricultural professional, a researcher exploring the frontiers of technology, or a policymaker shaping the future of agriculture, we hope that this book serves as a valuable resource and catalyst for positive change in the agricultural sector.

As we embark on this exploration together, let us remain mindful of the interconnectedness of our actions and the profound impact they have on the planet and its inhabitants. By harnessing the power of technology for sustainable farming, we could cultivate a future where agriculture thrives in harmony with nature, nourishing both people and the planet.

Raghavendra M. Devadas
Manipal Institute of Technology Bengaluru
Manipal Academy of Higher Education
Manipal, India

Vani Hiremani
Symbiosis Institute of Technology
Symbiosis International (Deemed University)
Pune, India

&

Praveen Gujjar Jagannath, Lubna Ambreen & Harold Andrew Patrick
Faculty of Management Studies
JAIN (Deemed-to-be University)
Bengaluru, India

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