Plant Species and Disease Detection Using AI

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Authors: Thakur Vinita, SINGH PRIYA
Cited by: 0

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