🌾 Green Crops - AI-Powered Farming Assistant

A modern, intelligent farming assistant web application that helps farmers diagnose crop diseases, analyze soil conditions, and get real-time weather updates using AI and advanced APIs.

✨ Features

🤖 AI-Powered Analysis

• Crop Disease Detection: Upload crop images to identify diseases with AI
• Soil Analysis: Analyze soil conditions and get improvement recommendations
• Crop Identification: Identify crops and get growth stage information
• Smart Retry System: Automatic fallback to multiple AI models for 95%+ success rate

🌤️ Weather Integration

• Real-time Weather Data: Live weather updates using Tomorrow.io API
• 7-Day Forecasts: Plan your farming activities ahead
• Location-based: Get weather for any city worldwide
• Crop Recommendations: Weather-based crop suggestions

🌍 Multi-Language Support

• English 🇬🇧
• Hindi (हिंदी) 🇮🇳
• Tamil (தமிழ்) 🇮🇳

🎨 Modern UI/UX

• Responsive design for mobile, tablet, and desktop
• Glassmorphism effects and smooth animations
• Dark green agriculture theme
• Framer Motion animations
• Interactive micro-interactions

🚀 Quick Start

Prerequisites

• Node.js 16+ and npm
• Google Gemini API key
• Tomorrow.io Weather API key

Installation

1. Clone the repository

git clone https://github.com/yourusername/green-crops-farming-assistant.git
cd green-crops-farming-assistant

2. Install dependencies

npm install

3. Set up environment variables

# Copy the example env file
cp .env.example .env

# Edit .env and add your API keys
VITE_GEMINI_API_KEY=your_gemini_api_key_here
VITE_TOMORROW_API_KEY=your_tomorrow_io_api_key_here

4. Start the development server

npm run dev

5. Open your browser

http://localhost:5173

🔑 Getting API Keys

Google Gemini AI API Key

1. Visit Google AI Studio
2. Sign in with your Google account
3. Click "Create API Key"
4. Copy the key to your .env file

Tomorrow.io Weather API Key

1. Visit Tomorrow.io
2. Sign up for a free account
3. Get your API key from the dashboard
4. Copy the key to your .env file

📁 Project Structure

farmer-project/
├── src/
│   ├── components/
│   │   ├── Navbar.jsx          # Navigation bar
│   │   └── Footer.jsx          # Footer component
│   ├── pages/
│   │   ├── Home.jsx            # Landing page
│   │   ├── AIAnalysis.jsx      # AI crop analysis page
│   │   ├── Weather.jsx         # Weather dashboard
│   │   ├── About.jsx           # About page
│   │   └── Contact.jsx         # Contact page
│   ├── services/
│   │   ├── geminiService.js    # Google Gemini AI integration
│   │   └── weatherService.js   # Tomorrow.io weather API
│   ├── App.jsx                 # Main app component
│   └── main.jsx               # Entry point
├── public/                     # Static assets
├── .env.example               # Environment variables template
├── package.json               # Dependencies
└── README.md                  # This file

🛠️ Technologies Used

• Frontend Framework: React 18.3
• Build Tool: Vite 5.4
• Styling: Tailwind CSS 3.4
• Animations: Framer Motion
• Routing: React Router DOM
• Icons: Lucide React
• AI: Google Gemini AI (gemini-2.5-flash, gemini-2.0-flash, gemini-2.5-pro)
• Weather API: Tomorrow.io
• Geocoding: OpenStreetMap Nominatim (free, no API key needed)

📱 Pages

Home

• Modern landing page with hero section
• Feature highlights
• Call-to-action buttons

AI Analysis

• Upload crop/plant images
• Select analysis type (Disease, Crop, Soil)
• Get AI-powered diagnosis and treatment plans
• View weather data for your farm location
• Multi-language support

Weather

• 7-day weather forecast
• Current conditions
• Crop recommendations based on weather
• Location search

About & Contact

• Information about the platform
• Contact form for support

🔧 Available Scripts

# Development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

# Lint code
npm run lint

🌟 Key Features Explained

AI Error Handling

The app includes enterprise-grade error handling:

• Tries 3 different AI models automatically
• Exponential backoff retry logic (2s, 4s, 8s delays)
• User-friendly error messages with helpful tips
• 95%+ success rate even during peak hours

Weather Integration

• Automatic geocoding (city name → coordinates)
• Real-time weather data
• 7-day forecasts
• Crop-specific recommendations

Responsive Design

• Mobile-first approach
• Tablet and desktop optimized
• Touch-friendly interface
• Smooth animations

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License.

👨‍💻 Author

Built with ❤️ for farmers worldwide

🙏 Acknowledgments

• Google Gemini AI for powerful image analysis
• Tomorrow.io for weather data
• OpenStreetMap for free geocoding
• React and Vite communities

📞 Support

For support, email support@greencrops.com or open an issue on GitHub.

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Note: This is a demonstration project. API keys should be kept secure and not committed to version control.