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.
For agribusinesses, government programmes and NGOs that need to see where crops need attention and turn field data into decisions.
What we build for agriculture
The workflows where location data makes the biggest difference in this sector.
- 01
Farm and plot mapping
Digitising boundaries, crop types, ownership and seasonal details.
- 02
Crop health monitoring
Vegetation indices such as NDVI and EVI from Sentinel and Landsat imagery to prioritise field visits.
- 03
Field data apps
Surveys, crop reports, yield estimates and damage assessments on mobile devices.
- 04
Risk modelling
Spatial overlays that flag areas vulnerable to drought, flooding or pests.
Typical stack
The tools we most often use in agriculture projects. We choose per project, based on your existing systems, licences and team.
Related services
- Google Earth Engine
- Python (NumPy, pandas, Rasterio)
- PostGIS
- QGIS
- GeoServer
- Leaflet
- MapLibre GL JS
Further reading
All insights
What Is GeoAI? Practical Uses of AI for Geospatial Data
A clear introduction to GeoAI, the use of machine learning and AI on location data, with practical use cases, data needs and how to start a first project.
Cloud-Native Geospatial: COG, GeoParquet, STAC and PMTiles
An introduction to cloud-native geospatial formats that let you query and stream large raster and vector data straight from object storage, with fewer servers to run.Other industries
All industries
UtilitiesNetwork records, asset dashboards and field workflows for electricity and water networks.
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TelecomNetwork planning, coverage analysis and asset management for fiber and cellular networks.
Oil and gasPipeline and facility records, inspection workflows and operational dashboards.
TourismDestination maps, trail guides and visitor analytics for tourism organisations.
Working on an agriculture GIS project?
Tell us about the workflow you want to improve and the data you have today.