AGRITECHUNDER NDA2024-present

Field-health maps from drone and satellite

A precision-agriculture cloud platform that fuses drone imagery with Copernicus satellite data into NDVI maps of crop health.

Geospatial data and maps Data processing and reporting Operations and deployment (Docker, CI/CD, VPS)

Client

Agriculture project (Europe)

Engagement

PoC and development

Timeline

PoC phase

Stack

Python/FastAPI · PostgreSQL/PostGIS

The challenge

Fields judged by eye.

Crop condition was hard to assess without walking the field. Drone and satellite data both existed, but sat apart and nobody combined them into a usable picture.

Our approach

Fuse drone and satellite into one map.

As a PoC, we built a platform that combines aerial drone imagery with Copernicus satellite data and computes NDVI maps of crop health. PostGIS holds the geospatial data.

✓ Drone imagery processing

✓ Connected to Copernicus satellite data

✓ NDVI crop-health maps

✓ Geospatial field database