Crop Disease Detection from Leaf Images
Early detection of crop disease can save a large share of a harvest. This project trains a Convolutional Neural Network on labelled leaf images to classify common plant diseases. Users upload or capture a leaf photo in a simple web app and instantly receive the predicted disease, a confidence score and suggested treatment and prevention steps.
Key Features
Modules
- 01Data Preprocessing & Augmentation
- 02Model Training
- 03Model Evaluation
- 04Prediction Web App
Technology Stack
Machine Learning
Data
Application
Ideal For
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