Book Agricultural Sciences Pedagogy Using Large Language Models
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.
