Overview

Smart Farm Prediction is a cross-platform application designed to provide seamless user experiences on Android, iOS, web, and Windows platforms. Built using Flutter, it ensures consistent performance and user interfaces across all supported devices.

Features

• Cross-Platform Support: Runs on Android, iOS, web, and Windows.
• Unified Codebase: A single Flutter codebase powers all platforms.
• Customizable Interface: Platform-specific code sections enable tailored user experiences.
• Modular Architecture: Cleanly organized directories for platform-specific development.

Directory Structure

.
└── fc_edge24
    ├── android
    │   └── app
    │       └── src
    │           └── main
    │               └── kotlin
    │                   └── com
    │                       └── edgeai
    │                           └── fc_edge24
    │                               └── MainActivity.kt
    ├── ios
    │   └── Runner
    │       └── Base.lproj
    │           ├── LaunchScreen.storyboard
    │           └── Main.storyboard
    ├── web
    │   └── index.html
    └── windows
        └── runner
            ├── flutter_window.cpp
            ├── main.cpp
            ├── utils.cpp
            └── win32_window.cpp

Getting Started

Prerequisites

• Flutter SDK installed.
• Android Studio or Xcode for mobile development.
• Node.js and npm for web development.
• Visual Studio for Windows development.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/fc_edge24.git
   cd fc_edge24

2. Get Flutter dependencies:

   flutter pub get

Running the Application

Android

1. Open the project in Android Studio.
2. Connect an Android device or start an emulator.
3. Run the application using:

   flutter run -d android

iOS

1. Open ios/Runner.xcworkspace in Xcode.
2. Select a simulator or connect an iOS device.
3. Build and run the project using:

   flutter run -d ios

Web

1. Ensure you have a web server or Flutter's web tool enabled.
2. Run the application in the browser:

   flutter run -d web

Windows

1. Open the project in Visual Studio.
2. Build the project using:

   flutter run -d windows

Platform-Specific Details

Android

The Android entry point is defined in MainActivity.kt, which extends FlutterActivity to integrate Flutter into the Android platform.

iOS

Storyboard files (LaunchScreen.storyboard and Main.storyboard) define the user interface for the iOS platform, providing a smooth transition into the Flutter app.

Web

The web entry point is index.html, which sets up the environment and links necessary resources for the Flutter web application.

Windows

The Windows entry point is main.cpp, which initializes the Flutter engine and configures the application window.

Contributing

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add a new feature"

4. Push to the branch:

   git push origin feature-name

5. Open a pull request.

Acknowledgement

• This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00907, Development of Adaptive and Lightweight Edge-Collaborative Analysis Technology for Enabling Proactively Immediate Response and Rapid Learning).