CropCure is an innovative application designed to revolutionize the detection of blight in potato plants using cutting-edge Machine Learning technology. By leveraging Convolutional Neural Networks (CNN), CropCure can accurately identify and categorize blight types, including early blight, late blight, and normal leaves, with an impressive 96% accuracy rate.
Key Features: Blight Recognition: CropCure utilizes advanced CNN algorithms to precisely identify and classify blight in potato leaves, enabling early detection and proactive management of plant diseases.
Multiple Blight Types: With CropCure, users can distinguish between various types of blight, including early blight, late blight, and normal leaves, facilitating targeted treatment strategies for crop protection.
High Accuracy: Our model has been meticulously trained on extensive datasets to achieve a remarkable accuracy rate of 96%, ensuring reliable and consistent results for agricultural practitioners and researchers.
User-Friendly Interface: CropCure features an intuitive and user-friendly interface, allowing users to easily upload images of potato leaves and obtain instant blight diagnosis and classification results.
