Agricultural Sciences Pedagogy Using Large Language Models

1. Auflage 2026
ISBN: 978-1-77964-280-6
Verlag: Apple Academic Press Inc.

Buch, Englisch, 400 Seiten, Format (B × H): 152 mm x 229 mm

As AI rapidly transforms science, engineering, and professional training, this timely volume demonstrates how LLMs can modernize agricultural pedagogy while supporting innovation, sustainability, and workforce development. Covering diverse disciplines—including fruit and vegetable science, agricultural biotechnology, entomology, plant pathology, agronomy, food science and nutrition, floriculture, landscaping, and agri-business management—the book presents practical strategies for integrating AI into teaching and learning.

Beginning with the evolution of LLMs in agricultural sciences, the volume introduces prompt engineering techniques and explains how AI-powered tools can enhance teaching, personalized learning, creativity, critical thinking, and research. Contributors examine the use of ChatGPT and related technologies to simplify complex engineering concepts, support data analysis, improve precision agriculture, strengthen pest and disease management, optimize resource use, and enhance decision-making. The book also addresses teacher evaluation, student assessment, curriculum development, real-time learning resources, virtual assistants, and simulation-based training.

Beyond the classroom, the volume demonstrates how LLMs can promote sustainable agricultural practices by improving resource management, precision farming, and environmentally responsible production systems. Additional chapters examine applications in farmer training, agricultural extension, and stakeholder engagement while considering the broader socio-economic impact of AI-enabled education. Throughout, contributors emphasize responsible implementation and practical approaches that benefit educators, students, researchers, and practitioners.

The final section addresses ethical, pedagogical, and technical challenges associated with LLM adoption, including data bias, transparency, academic integrity, and the evolving role of educators. It also explores future opportunities and the changing landscape of agricultural careers as AI becomes increasingly integrated into education and professional practice.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Jarial, Sapna

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor Agrarökonomie, Ernährungswirtschaft

Inhaltsverzeichnis

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

Über Autor(innen)

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.