Agriculture & Allied Sciences

Agricultural Sciences Pedagogy Using Large Language Models
Editor: Sapna Jarial, PhD

Agricultural Sciences Pedagogy Using Large Language Models

In Production
Pub Date: Forthcoming February 2026
Hardback Price: $190 US | £150 UK
Hard ISBN: 9781779642806
E-Book ISBN: 978-1-77964-281-3
Pages: Est 388 pp w/index
Binding Type: Hardback / ebook
Notes: 13 color and 14 b/w illustrations

This new volume, Agricultural Sciences Pedagogy Using Large Language Models, offers a comprehensive exploration of the high-tech tools that are transforming agricultural science education, when large language models (LLMs), a form of advanced artificial intelligence, are incorporated into training and education. Despite rapid advances in computer science and engineering that have driven innovation across various sectors, agricultural education has not kept pace with these developments. This volume highlights the potential for smart innovation in agricultural science, particularly in enhancing communication and knowledge dissemination. The volume explores how the application of LLMs spans a broad spectrum of themes in agricultural education, including fruit and vegetable science, agricultural biotechnology, entomology, plant pathology, agronomy, food science and nutrition, floriculture and landscaping, agri-business management, and the training of trainers and instructors.

The volume first provides foundational knowledge on the integration of LLMs into agricultural education, beginning with the evolution of LLMs in the field of agricultural sciences and progressing on to the tools and techniques of prompt engineering for teaching, emphasizing their applications in education, personalized learning, and agricultural research to foster creativity, critical thinking, and effective problem-solving. Chapters explore how ChatGPT and similar LLMs can aid in understanding complex engineering concepts in agricultural sciences, highlighting its capabilities in data analysis, precision agriculture, pest management, efficient resource management, and enhanced decision-making. Discussions on the application of LLMs in teacher evaluation and student assessment are included.

The volume looks at the use of LLMs in training and education for sustainable agricultural practices and their role in optimizing resource management, enhancing precision farming, and fostering eco-friendly practices. Chapters look at enhancing curriculum creation, real-time updates, and personalized learning and discuss the use of virtual assistants, simulation-based training, and ethical considerations, such as data bias, ensuring improved agricultural practices and socio-economic development.

The challenges, ethical considerations, and future directions for LLMs in agricultural sciences are also considered; the volume explores pedagogical and technical obstacles, opportunities, and the future of agricultural jobs in light of LLM integration.

Offering a thorough understanding of the role of LLMs in transforming agricultural pedagogy and offering insights into their applications, challenges, and future prospects in this field, this volume will be of value to faculty members, development practitioners in field, and policymakers in the field of agricultural sciences.

CONTENTS:
Preface

Introduction

PART I: ESSENTIALS OF LARGE LANGUAGE MODELS IN AGRICULTURAL PEDAGOGY
1. Evolution of Large Language Models in Agricultural Sciences

N. D. Chethan Patil, Sapna Jarial, Ayushi Pal, Shaurya Negi, Aman Kumar, and Hashim Zahoor

2. A Study on Prompt Engineering Tools and Techniques for Teaching and Learning
Kajal Rani, Gurpreet Kaur, Shalu Rani, and Arunava Majumder

3. Engineering Concepts in Agricultural Sciences: How Can ChatGPT Assist?
Kamal Hassan, Harpinder Singh Sandhu, and Gurraj Singh

4. Teacher Evaluation and Student Assessment in Agricultural Sciences Using Large Language Models
Haobijam James Watt, Devina Seram, and Aquiny B. T. Mawthoh

PART II: APPLICATION OF LLM IN AGRICULTURAL SCIENCES PEDAGOGY
5. Innovations in Agri-Business Management Pedagogy Using Large Language Models

Shivalika Sood, Nitin Goyal, and Deepak Raina

6. Revolutionizing Learning in Food Science and Nutrition: Harnessing the Power of Large Language Models
Amanjyoti, Pratibha Batra, Prasad Rasane, Jyoti Singh, and Riaz Ullah

7. Application of Large Language Models in Agricultural Entomology
Pritha Ghosh and Ajinkya Markad

8. Revolutionizing Plant Pathology: Harnessing Artificial Intelligence for Disease Detection, Epidemiology, and Plant Disease Management
Devendra Kumar, Archana T. S., Bhargav Reddy, and Vipul Kumar

9. Large Language Models in Fruit Science
Praveen Verma, Prasanna S., and Suman Bodh.


10. Role of Artificial Intelligence in Agricultural Biotechnology
Prabhjot Singh Jassal and Jeziel Salsano R. Marak

11. Floriculture and Landscaping Pedagogy Using Large Language Models
Thaneshwari, Vidya Sree B., Khushboo Kathayat, and Kamlesh Kumar

12. Large Language Model Use in Agronomy
Aritra Guin and Santosh Korav

13. Pedagogical Consideration in Use of Large Language Models in Vegetable Science
Monisha Rawat and Khushboo Kathayat

14. Insect Study Through Large Language Models
Devina Seram, Haobijam James Watt, and Aquiny B. T. Mawthoh

15. Application of Large Language Models in Biochemistry
Shashikant Sharma, Balaji Rathod, and Yenda Damodhara

PART III: STAKEHOLDER PERSPECTIVES IN APPLICATIONS OF LARGE LANGUAGE MODELS IN AGRICULTURAL SCIENCES
16. Sustainable Agricultural Practices Through the Use of Large Language Models

Ishita Mandla, Kamlesh Kumar Acharya, Priyanka Lal, and Adelajda Matuka

17. Application of Artificial Intelligence and Large Language Model for Technologists, Education, and Students
Sumit Shoor, Swastik Pradhan, Rosy Shoor, Manisha Priyadarshani, Harpinder Singh Sandhu, and Rajeev Dhiman

18. Large Language Model Use in Training of Trainers in Farmer Producer Organizations
Harjinder Kaur, Pankaj Kumar, Rupesh Kaushik, N. D. Chethan Patil, and Sapna Jarial

19. Divergent Opinions of Technologists, Educationists, and Students in the Use of Large Language Models
Dangi Pooja Arun and Ankush Bansal

PART IV: CHALLENGES, ETHICAL CONSIDERATIONS, AND FUTURE DIRECTIONS
20. Ethical, Pedagogical, and Technical Obstacles in Using LLMs in Agricultural Sciences

Yudhishther Singh Bagal, Nipun Kumar, Vipal Bhagat, and Deepak Sharma

21. Pedagogical Challenges and Opportunities in the Use of Large Language Models in Horticultural Sciences
Vikanksha, Arun Kumar, Manish Bakshi, and Jatinder Singh

22. Future Scenario of Agricultural Jobs Using Large Language Models
Kushagra Sharma, Sanjeev Kumar, N. D. Chethan Patil, and Sapna Jarial

Index


About the Authors / Editors:
Editor: Sapna Jarial, PhD
Associate Professor (Agricultural Extension), Department of Agricultural Economics and Extension, School of Agriculture, Lovely Professional University, Phagwara, Punjab, India

Sapna Jarial, PhD, is currently working as an Associate Professor (Agricultural Extension) in the Department of Agricultural Economics and Extension, School of Agriculture, at Lovely Profes-sional University, Phagwara, Punjab, India. Her research focus is on emerging technologies ap-plication in agricultural extension advisory services, gender and higher education. She has pub-lished over 50 research papers, authored six books, and guided undergraduate students for rural agricultural work experience. She has extensive fieldwork experience in remote regions of Ni-ger, Mali, Nigeria, Burkina Faso, Ghana, Ethiopia, Zambia, and 12 Indian states. Previously, she served as a Crop-Livestock Scientist at the International Crop Research Institute for Semi-Arid Tropics, coordinating projects in West and Central Africa under the USAID Feed the Future initi-ative. At the International Livestock Research Institute, she was pivotal in the Cereal Systems Initiative for South Asia, enhancing farmer capacity in India, Nepal, and Bangladesh. Her career began at the Bhartiya Argo Industries Research Foundation as Deputy Programme Coordinator and later advanced as a Research Associate and Special Project Scientist for the TATA-International Livestock Research Institute Projects. She holds a PhD and master’s degree in Dairy Extension Management (with distinction) from the National Dairy Research Institute, Karnal, India, and was a DAAD fellow at Humboldt University, Germany.




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