Plant Species and Disease Detection Using AI
Abstract
This paper presents PlantScan, a plant species and disease detection system based on Generative Artificial Intelligence using Large Multimodal Models. The system utilizes Llama Vision via the Groq API to perform zero-shot analysis of plant leaf images without dataset-specific training. The approach supports multiple crop species referenced from the PlantVillage dataset and provides disease identification along with natural language explanations and treatment suggestions, making it suitable for real-time agricultural assistance.
Fields of Study & Subjects
Smart Agriculture and AI
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026