PlantGuard

PlantGuard is a mobile application that analyzes plant images to detect diseases and classify their health status. Using machine learning, the app identifies whether a plant is healthy or affected by common plant diseases such as powdery mildew and rust.

Features

• Disease Detection: Analyzes images of plants and detects if they are affected by powdery mildew or rust.
• Health Classification: Classifies the plant as either healthy, powdery, or rust-affected.
• User-Friendly Interface: Designed with a simple UI to make the analysis process quick and efficient.
• Real-time Results: Provides immediate feedback on the plant's health status upon image upload.

Installation

Prerequisites

Before you can run PlantGuard locally, ensure that you have the following installed:

• Python 3.x
• TensorFlow or PyTorch (for machine learning models)
• Required dependencies (listed in requirements.txt)

Steps to Install

1. Clone this repository to your local machine:

   git clone https://github.com/cdrcknt/PlantGuard.git

2. Navigate into the project directory:

   cd PlantGuard

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the application locally:

   python app.py

Usage

1. Open the app and take or upload a photo of a plant.
2. The app will analyze the image and classify the plant's health.
3. The result will be shown as either "Healthy," "Powdery," or "Rust."

Machine Learning Model

The app uses a trained machine learning model to classify plant diseases. The model was trained using a dataset of labeled plant images and has been optimized for the accurate detection of common plant diseases.

Contributing

We welcome contributions to improve PlantGuard. If you'd like to help, please fork this repository and submit a pull request with your changes.

Steps to Contribute

1. Fork the repository
2. Clone your forked repository to your local machine
3. Create a new branch (git checkout -b feature-branch)
4. Make your changes
5. Commit your changes (git commit -am 'Add new feature')
6. Push to the branch (git push origin feature-branch)
7. Submit a pull request

License

PlantGuard is open-source and available under the MIT License.

Acknowledgements

• This project uses TensorFlow for machine learning.
• The plant disease dataset was sourced from Dataset Source.

Developers

• Cedric Kent Centeno

Contact

For any inquiries or feedback, feel free to open an issue on the GitHub repository.

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