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This repository presents a machine learning project that uses Convolutional Neural Networks (CNNs) to identify potato crop diseases. Utilizing a Kaggle dataset, it classifies potato leaves into early blight, late blight, or healthy.

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AyushBari369/Crop-Disease-Prediction-using-CNN

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Author - Ayush Bari

Crop-Disease-Prediction-using-CNN

This repository presents a machine learning project that uses Convolutional Neural Networks (CNNs) to identify potato crop diseases. Utilizing a Kaggle dataset, it classifies potato leaves into early blight, late blight, or healthy.
Install tensorflow , numpy , matplotlib , keras download dataset from Dataset File

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This repository presents a machine learning project that uses Convolutional Neural Networks (CNNs) to identify potato crop diseases. Utilizing a Kaggle dataset, it classifies potato leaves into early blight, late blight, or healthy.

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