Potato Leaf Disease Identification using Machine Learning

Potato Leaf Disease Identification using Machine Learning is a state-of-the-art project designed to revolutionize the identification and classification of diseases affecting potato plants. Employing sophisticated machine learning techniques, the system integrates a ResNet50-based deep learning model trained on a comprehensive dataset encompassing early blight, late blight, and healthy potato leaves. The user-friendly interface facilitates seamless image uploads, triggering real-time predictions from the model. The application not only provides prompt and accurate disease classifications but also includes detailed descriptions of identified diseases, offering valuable insights for timely plant health management. Tailored to meet the needs of farmers and agriculture professionals, this project represents a significant step towards proactive disease detection and sustainable crop management.