GIS and remote sensing for agriculture
Satellite imagery and field data can show where crops are struggling before the yield is lost. We build mapping, monitoring and data collection tools for agribusinesses, government programmes and NGOs.
Review note: No delivered agriculture case is linked. Confirm a case or consider not promoting this sector (audit finding 07).
Workflows we build
- Farm and plot mapping
- Digitising boundaries, crop types, ownership and seasonal details.
- Crop health monitoring
- Vegetation indices such as NDVI and EVI from Sentinel and Landsat imagery to prioritise field visits.
- Field data apps
- Surveys, crop reports, yield estimates and damage assessments on mobile devices.
- Risk modelling
- Spatial overlays that flag areas vulnerable to drought, flooding or pests.
Typical stack
Google Earth Engine, Python (NumPy, pandas, Rasterio), PostGIS, QGIS, GeoServer, Leaflet, MapLibre GL JS
Related services: GIS development, Open-source GIS
Working on a agriculture GIS project?
Tell us about the workflow you want to improve and the data you have today.