Our project employs YOLOv8 within a Streamlit application, simplifying tomato cultivation management The Web app seamlessly detects diseases in tomato leaves through images, videos, webcam, and RTSP camera streams. Simultaneously, it provides intelligent fertilizer recommendations based on disease analysis and environmental factors. The YOLOv8 model ensures real-time, accurate disease detection, enabling swift responses to potential threats.