A web-based Crop Disease Detection System developed using Python 3.11, Flask, and Classical Machine Learning. The application allows users to upload leaf images and predicts whether the crop is ...
An end-to-end deep learning project for classifying crop diseases from leaf images using MobileNetV2 Transfer Learning. This project includes a complete ML pipeline, REST API backend, and a modern web ...
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