Plant Disease Mobile App

A Flutter-based mobile application designed for detecting plant diseases through machine learning models using mobile imaging. This app is part of a master's degree final project by Michael Ajao-Olarinoye for a degree in Data Science and Computational Intelligence at Coventry University.

Table of Contents

• Plant Disease Mobile App
  • Table of Contents
  • Getting Started
  • Features
  • App Architecture
  • UI and UX Design
  • Prerequisites
  • Installation
  • Running the App
  • Resources
  • Contributing
  • License

Getting Started

This project serves as a mobile app aimed at local farmers to assist with identifying plant diseases. The app enables users to upload plant images for disease diagnosis using machine learning models. It also provides a minimalist, farmer-friendly design to ensure accessibility and ease of use.

Features

• Image Upload: Users can upload images of plants.
• Disease Detection: Identifies diseases from the uploaded images using machine learning models.
• Farmer-friendly UI: Simple and intuitive user interface for ease of use.
• Research-Oriented: Includes functionality for logging and sending disease data, which can be used for research purposes.

App Architecture

• Frontend: Built using Flutter, focusing on a simple, intuitive user interface for farmers.
• Backend (Future Implementation): Will include a machine learning model (TFLite) for plant disease detection.
• Core Functionality: Image analysis using pre-trained models and possibly integration with a cloud service for better data storage and retrieval.

UI and UX Design

• Minimalist Design: The app uses simple color schemes with rustic, natural tones to appeal to local farmers.
• Welcome Screen: Engaging welcome screen introducing users to the app's purpose.
• Easy Navigation: Simple navigation flow with clear buttons for uploading images and viewing results.
• Mobile-Optimized: Designed for mobile screens with a focus on accessibility.

Prerequisites

Ensure you have the following installed on your machine:

• Flutter SDK
• Android Studio or Visual Studio Code
• Android or iOS simulator for testing the application

Installation

Follow these steps to install the app locally:

1. Clone the repository:

   git clone https://github.com/yourusername/plant_disease_mobile_app.git

2. Navigate to the project directory:

   cd plant_disease_mobile_app

3. Install dependencies:

   flutter pub get

4. If necessary, update the Flutter SDK and check for outdated dependencies:

   flutter pub outdated
   flutter upgrade

Running the App

1. Set up a Device: Connect your mobile device via USB or use an Android/iOS emulator.

2. Run the App:

   flutter run

   For hot reload:

   r

3. If you encounter any issues, ensure that the device or emulator is properly set up and connected.

Resources

Here are a few resources to help you get started with Flutter development if you are new to the framework:

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples
• Flutter Documentation
• API Reference

Contributing

We welcome contributions! If you would like to contribute to the development of this project, please follow these steps:

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -m 'Add your feature').
4. Push to the branch (git push origin feature/your-feature).
5. Open a pull request.

Make sure to read our contributing guidelines before submitting any changes.

License

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

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Michael Ajao-Olarinoye
Coventry University
Master's Degree in Data Science and Computational Intelligence