ML BASED LEAF DISEASE DETECTION SYSTEM

The ML Based Leaf Disease Detection System is designed to identify plant diseases at an early stage using image analysis. A camera captures images of plant leaves, and the data is processed by a Single Board Computer (SBC). Machine learning algorithms analyze leaf patterns to detect and classify diseases. The system helps farmers take timely preventive measures and improve crop yield. This project uses an SBC, camera module, ML algorithms, image processing, and embedded programming, making it suitable for smart agriculture and precision farming applications.