Plant Fettle Detector

Overview

This project, "Plant Fettle Detector," aims to detect diseases and assess the quality of apples and oranges using image processing techniques. It utilizes research concepts detailed in the following paper: IEEE Xplore - Research Paper.

Collaborators

• KhushiBajpai2003
• shrutiijainn11

Features

• Disease detection for apples, orange, etc.
• Quality assessment based on visual inspection.
• Web-based interface for easy interaction.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/plant-fettle-detector.git
   

Usage

1. Navigate to the project directory.
2. Run the application:

   python app.py
   

3. Open your web browser and go to http://localhost:5000 to use the application.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Make your changes.
4. Commit your changes (git commit -am 'Add some feature').
5. Push to the branch (git push origin feature/your-feature).
6. Create a new Pull Request.

Acknowledgements

We would like to acknowledge the contributions and support of the following individuals to this project:

• Khushi Bajpai (KhushiBajpai2003): Implementation of image processing algorithms.
• Shruti Jain (shrutiijainn11): Development of web interface and frontend design.