A comprehensive geospatial and agricultural management platform leveraging AI to revolutionize field data collection, crop health analysis, and collaborative insights for agricultural professionals.
- Real-time Collaboration: Synchronize field data across multiple devices
- Crop Identification: AI-powered identification of crops from images
- Crop Health Analysis: Detect diseases, pests, nutrient deficiencies
- Yield Prediction: Advanced algorithms to estimate crop yields
- Geospatial Analytics: Visualize field data with interactive maps
- Plugin Marketplace: Extend functionality with specialized plugins
- Property Assessment System: Complete property valuation and taxation management
- Database Migration Framework: Robust schema versioning and migration system
The platform follows a microservices architecture with Apollo Federation Gateway to connect specialized services:
- Core Gateway: Central API gateway that routes requests to appropriate services
- Crop Identifier Service: AI-powered crop identification
- Crop Health Service: Analysis of crop health and disease detection
- Mobile Sync Service: Real-time synchronization for field devices
- Data Processing Service: Background processing of uploaded data
- Plugin Framework: Extensible system for third-party integrations
- Database Migration Service: Automated schema versioning and deployment
- Backend: Node.js, Express, Apollo Server, GraphQL
- Frontend: React, TailwindCSS, shadcn/ui components
- Mobile: React Native
- Database: PostgreSQL with Drizzle ORM
- Real-time Sync: WebSockets, Y.js
- AI Integration: OpenAI with custom prompts for agricultural analysis
- Build Tools: Nx monorepo
- Database Migrations: Flyway with CI/CD integration
- DevOps: GitHub Actions, Docker, automated testing
- Clone the repository
- Install dependencies with
npm install - Set up environment variables (see
.env.example) - Start the development server with
npm run dev
- Gateway Integration
- Adding New Repositories
- WebSocket Fix
- Database Schema
- Migration Guidelines
- CI/CD Pipeline
TerraFusion includes a comprehensive database migration system based on Flyway:
- Schema Versioning: All database changes are versioned and tracked
- Automated Testing: Migrations are automatically tested in CI
- Deployment Automation: Seamless deployment to staging and production
- Developer Tools: Simplified workflows for creating and testing migrations
- Documentation: Detailed schema documentation and migration guidelines
To run migrations locally:
cd db-migrations
./run-local-migration.sh migrateSee the Migration Guidelines for best practices.
- Enhanced mobile offline capabilities
- AR/VR visualization for field data
- Advanced predictive analytics for crop management
- More comprehensive ML models for crop analysis
- Integration with IoT sensors and drones
- Extended database schema for agricultural analysis