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AgriTrack

AgriTrack is a Flutter-based mobile application designed to revolutionize farming through AI-powered solutions.

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AgriTrack

AgriTrack - AI-Powered Farming Solutions

Overview

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AgriTrack is a Flutter-based mobile application designed to revolutionize farming through AI-powered solutions. The app helps farmers optimize crop production, detect diseases early, make data-driven decisions, and maximize profits through smart technology.

Key Features

AI Disease Detection

  • Upload photos of crops to instantly identify diseases
  • Get detailed treatment recommendations
  • Access historical disease data for your farm

Integrated E-commerce

  • Purchase recommended agricultural products directly through the platform
  • Compare prices from various suppliers
  • Track your orders and delivery status

Precision Farming

  • Real-time weather insights for your specific location
  • Resource usage optimization recommendations (water, fertilizer, etc.)
  • Season planning based on climate predictions

Market Predictions

  • Access real-time market prices for your crops
  • Trend analysis and future price predictions
  • Optimal harvest timing recommendations

Farmer Dashboard

  • Comprehensive overview of farm performance
  • Task management system
  • Resource usage analytics
  • Yield tracking and forecasting

Tech Stack

  • Frontend: Flutter (Dart)
  • State Management: Provider/Bloc
  • Backend: Supabase
  • Authentication: Custom auth with third-party options (Google, Facebook)
  • AI Integration: TensorFlow Lite for on-device image processing
  • Maps & Location: Google Maps API
  • Storage: Supabase Storage
  • Analytics: Firebase Analytics

Project Structure

Getting Started

Prerequisites

  • Flutter SDK (2.10.0 or higher)
  • Dart SDK (2.16.0 or higher)
  • Android Studio / VS Code
  • An active Supabase account
  • Google Maps API key (for location features)

Installation

  1. Clone the repository:
  2. Install dependencies:
  3. Create a
    file in the root directory with your API keys:
  4. Run the app:

Development Guidelines

Code Style

We follow the official Dart style guide. Please ensure your code follows these conventions before submitting PRs.

Architecture

AgriTrack follows a clean architecture approach with the following layers:
  • Presentation Layer: UI components, screens, widgets
  • Domain Layer: Business logic, use cases
  • Data Layer: Data sources, repositories, models

State Management

We use the BLoC pattern for state management. Please follow these guidelines:
  • Create separate BLoCs for different features
  • Keep BLoC logic simple and focused
  • Use events for user interactions
  • Use states to represent UI states

Committing Code

  • Follow conventional commit messages
  • Keep commits small and focused
  • Write descriptive PR descriptions

Testing

  • Unit tests:
  • Integration tests:
  • Widget tests: included in the main test suite

UI/UX Guidelines

The app follows a professional, future-oriented design language with:
  • Clean, minimalist interfaces
  • High contrast for outdoor visibility
  • Intuitive navigation
  • Responsive layouts for different screen sizes
  • Accessibility considerations

Backend Setup (Supabase)

  1. Create a new Supabase project
  2. Set up the following tables:
    • users
    • farms
    • crops
    • disease_detections
    • market_prices
    • orders
    • products
  3. Configure authentication with both email/password and third-party providers

Deployment

Android

  1. Generate keystore:
  2. Build APK:
  3. Build App Bundle:

iOS

  1. Set up certificates in Apple Developer account
  2. Build IPA:

Contributing

  1. Fork the repository
  2. Create feature branch:
  3. Commit changes:
  4. Push to branch:
  5. Open a Pull Request

Acknowledgements

  • Flutter Team
  • Supabase
  • TensorFlow