Presentation
PlantPal: Tutoring Pest and Disease Knowledge via Large Language Models
SessionMeeting Advanced AI Tools
DescriptionKnowledge of pests and diseases in agriculture and forestry has been conveyed through static texts and two-dimensional images. However, traditional static resources lack interactivity and contextual reasoning support to guide students better master and remember these knowledge. To address these challenges, we present PlantPal, an interactive question-answering system powered by large language models (LLMs) that enables dynamic reasoning and multimodal interpretation of such knowledge. This system illustrates the potential of LLM-based approaches to enhance agricultural students' cognitive engagement and support the translation of theoretical understanding into practical application. By developing a knowledge representation framework that balances domain specificity with accessibility, the system effectively communicates complex concepts, while remaining aligned with the foundational cognitive level of undergraduate students in agricultural education. Results from extensive user studies, involving 50 undergraduate agricultural students, demonstrate statistically significant improvement in students’ comprehension and practical reasoning, with participants reporting increased motivation and engagement compared to traditional text-based learning resources. This work contributes to the ongoing transformation of agricultural pedagogy by introducing a new paradigm of immersive cognitive intelligence.
Event Type
Educator's Forum
TimeMonday, 15 December 20252:15pm - 2:30pm HKT
LocationMeeting Room S228, Level 2
