Sam-B-Y/CV-Corn-Disease-Detection
Using Computer Vision with PyTorch to detect 3 types of diseases in corn leaf pictures, and OpenCV to segment backgrounds and avoid overfitting.
This project helps farmers, agronomists, and agricultural researchers quickly identify common rust, gray leaf spot, and blight in cornfields. By inputting images of corn leaves, it determines whether the leaf is healthy or affected by one of the three diseases. This allows for early detection and targeted intervention to protect corn yields.
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Use this if you need an automated way to accurately identify specific corn leaf diseases from images, reducing the time and labor of manual inspection.
Not ideal if you need to identify corn diseases beyond common rust, gray leaf spot, and blight, or if your images are not of individual corn leaves.
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Last pushed
Jun 17, 2024
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