Data-Co-Lab/Plant_Disease_Classification
This project aims to detect plant diseases from plant leaf images. To achieve this goal we preprocessed images using the grabcut algorithm and trained a CNN model using the plant disease dataset from kaggle. Our model successfully classifies 38 different types of disease with an accuracy up to 97%.
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