LeafDoc: A Generative AI–Based Plant Identification and Disease Diagnosis System

Accurate plant identification and early disease diagnosis are essential for effective plant health management. Many existing disease detection systems assume prior knowledge of plant species, limiting their usability for non-expert users. This paper proposes LeafDoc, a Generative AI–based system that identifies a plant from an uploaded image and subsequently analyzes it for possible diseases. The system utilizes a vision-language generative AI model to generate plant identification results, disease information, and treatment recommendations. A web-based interface and integrated chatbot enhance user interaction and accessibility. Functional evaluation demonstrates that the proposed system effectively supports intelligent plant health monitoring, providing a practical and user-friendly solution for agriculture and home gardening applications