This project leverages YOLOv8, a state-of-the-art object detection algorithm, to accurately identify and classify tomato plant diseases. By utilizing advanced deep learning techniques, this solution aims to aid farmers and agriculturists in early detection and management of plant diseases, thereby improving crop health and yield.
