AI Crop Documentation System

Agricultural Analytics Platform for Crop Prediction & Management

Features

• Real-time crop health monitoring
• AI-powered yield prediction models
• Historical data analysis
• Firebase-backed user authentication
• Cross-platform mobile support (iOS/Android)

Getting Started

Prerequisites

• Node.js 16+
• Expo CLI (npm install -g expo-cli)
• Firebase account

Installation

cd ai-crop-doc
npm install

Firebase Configuration

1. Create project at Firebase Console
2. Enable Authentication, Firestore, and Storage
3. Update config in src/services/firebase.js:

const firebaseConfig = {
  apiKey: "YOUR_API_KEY",
  authDomain: "YOUR_PROJECT_ID.firebaseapp.com",
  projectId: "YOUR_PROJECT_ID",
  storageBucket: "YOUR_PROJECT_ID.appspot.com",
  messagingSenderId: "YOUR_SENDER_ID",
  appId: "YOUR_APP_ID",
  measurementId: "YOUR_MEASUREMENT_ID"
};

Running the Application

npm start

Contributing

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

License

Distributed under MIT License.