Virdis

Virdis is a precision agriculture field monitoring platform that combines satellite imagery, geospatial mapping, weather analytics, and AI-driven agronomic insights into a single web dashboard.

The platform allows farmers, agronomists, and agricultural analysts to map crop fields, monitor vegetation health using NDVI, and receive AI-generated recommendations for irrigation, crop stress, and field management.

Preview

What Virdis Does

Virdis enables users to:

• Map and manage crop fields on an interactive satellite map
• Monitor crop health using NDVI vegetation analysis
• Automatically detect fields from satellite imagery
• View real-time weather data for each field
• Receive AI-powered agronomy recommendations
• Track vegetation health and field analytics over time

The goal is to help identify crop stress early and support better irrigation and yield decisions.

Key Features

Interactive Satellite Mapping

• Satellite basemap powered by Mapbox
• Polygon drawing for custom field boundaries
• Field editing and deletion
• Map fly-to animations and field highlighting
• Layer visibility toggles

NDVI Crop Health Monitoring

Sentinel-2 imagery is processed through Google Earth Engine to calculate NDVI. [NDVI = (NIR - Red) / (NIR + Red)]

NDVI Value	Vegetation Health
Red	Stressed vegetation
Yellow	Moderate vegetation
Green	Healthy vegetation

NDVI data is displayed as a semi-transparent raster layer above satellite imagery.

Automatic Field Detection

Users can detect crop fields by clicking on the map.

Process:

1. User selects a location
2. Sentinel-2 imagery is queried
3. NDVI is calculated
4. Region-growing segmentation detects vegetation boundaries
5. Field polygon and statistics are returned

Returned data includes field area, vegetation health score, and NDVI statistics.

AI Agronomic Insights

AI analyzes vegetation metrics and field data to generate:

• Crop health assessments
• Irrigation recommendations
• Pest and disease risk indicators
• Field scouting suggestions

AI results are cached to reduce API usage.

Weather Monitoring

Per-field weather data including:

• Temperature
• Rainfall
• Humidity
• Wind speed

Weather data is powered by Open-Meteo.

Tech Stack

Layer	Technology	Purpose
Frontend	React 18 + TypeScript	UI framework
Build Tool	Vite	Development and bundling
Styling	Tailwind CSS + shadcn/ui	Interface design
Mapping	Mapbox GL JS	Satellite map rendering
Charts	Recharts	Data visualization
Routing	React Router	SPA navigation
State	TanStack React Query	Server state management
Backend	Supabase Edge Functions	APIs and backend logic
Database	Supabase PostgreSQL	Data storage
Satellite Data	Google Earth Engine	Sentinel-2 NDVI processing
AI	Gemini 2.5 Flash	Agronomic analysis
Weather	Open-Meteo API	Weather data

System Architecture

User / Browser
      │
      ▼
Frontend
React + Mapbox GL JS + Tailwind
      │
      ▼
Edge Functions (Supabase)
      │
 ┌────────────────────┼───────────────┬───────────────┐
 ▼                    ▼               ▼               ▼
NDVI Tiles       Field Detection   AI Analysis   Mapbox Token
(GEE)            (GEE)             (Gemini)      (Mapbox API)
                             │
                             ▼
                    Google Earth Engine
                 Sentinel-2 Satellite Data

Installation

git clone https://github.com/your-org/virdis
cd virdis
npm install
npm run dev

Environment Variables

MAPBOX_TOKEN=
GEE_SERVICE_ACCOUNT_KEY=
OPEN_METEO_API_URL=
SUPABASE_URL=
SUPABASE_ANON_KEY=

License

MIT License