AI-Driven Gardening Assistant: Intelligent Plant Care and Disease Detection Using AI

The popularity of terrace and backyard gardening heightened the demand for smart, AI-enabled plant care and disease control. Here is presented the AI-Driven Gardening Assistant, an end-to-end solution that leverages computer vision and deep learning techniques for plant species identification, disease identification, and personalized care instructions. The assistant uses the YOLO algorithm, which is trained on a very large, augmented dataset covering multiple crop species, to ensure high-accuracy detection in diverse environmental conditions. A Retrieval-Augmented Generation (RAG) engine also powers an interactive chatbot through which users can ask expert, context-specific gardening advice from a highly curated knowledge base. Other than disease treatment, the assistant gives advice on terrace gardening methods and prevention. System implementation, deployment, and testing results are stated, and they indicate how the system can be applied to optimize terrace gardening using available AI-based assistance.