Plant Disease Detection using CNN

This repository contains the code for a Convolutional Neural Network (CNN) model that can detect plant diseases. The model is trained on a dataset of images of diseased and healthy plants, and can classify new images into one of several categories of plant disease.

Installation

To use this code, you will need to have Python 3 installed, along with several libraries including TensorFlow, Keras, and OpenCV. You can install these libraries using:

pip install -r requirements.txt

Usage

To run the web application, navigate to the webapp directory and run the following command:

python app.py

This will start the web application on http://localhost:5000. Proceed with using the website.

Contributing

Contributions are welcome! Please open an issue or pull request for any changes or additions.

License

This project is licensed under the MIT License - see the LICENSE file for details.