Ripe Tomato Detection Using YOLOv8 algorithm

– This project harnesses the power of YOLOv8 (You Only Look Once, version 8) a cutting-edge, real-time object detection algorithm to accurately identify ripened tomatoes in images and live video streams. We are Designed the model to support farmers and agricultural professionals, the system automates the process of detecting ripeness, significantly enhancing harvesting efficiency and reducing reliance on manual labour.  Our model was meticulously trained on a diverse dataset of tomatoes captured at various stages of ripeness. Through this training, YOLOv8 learned to differentiate ripened tomatoes based on distinctive visual cues such as colour intensity, contour shape, and size. The result is a robust, high-speed detection system capable of operating in real-world agricultural environments. This project makes it an ideal solution for automated yield estimation, and smart farming technologies.