Geospatial intelligence for Africa
Africa, brought
into focus.
AfriScan combines GIS, remote sensing, Earth observation, satellite data, weather and environmental information with artificial intelligence and machine learning to help farms and organisations understand change and decide where to act. Deep-learning models are being integrated into CropIntel as the platform develops.
ILLUSTRATIVE OUTPUTField monitoring brief
UpdatedField condition map5.2 ha
Stable Review Priority
Condition and rainfall context Observed Forecast
Example values shown for illustration. Client reports distinguish observed data, forecasts and model-generated indicators, and state observation dates, data sources and limitations.
What changes
One view of the place. A clearer next step.
AfriScan organises spatial evidence around the decision you need to make, combining geospatial analysis with suitable AI-assisted methods where they add value.
See beyond one visit
Compare farms and landscapes across wider areas and different dates.
Bring the evidence together
Read imagery, boundaries, weather and local information in context.
Focus limited resources
Direct field checks and attention to the places that need review.
AI & Deep Learning
Geospatial evidence, analysed with intelligent models.
AfriScan uses artificial intelligence and machine-learning methods to identify patterns in agricultural and environmental data. Deep-learning models are being integrated into CropIntel to strengthen spatial and temporal analysis as sufficient training and validation data become available.
Recognise patterns at scale
Combine satellite imagery, weather, farm boundaries and environmental information to identify meaningful spatial and temporal patterns.
Support forward-looking analysis
Use validated models where appropriate to support prediction while keeping model-generated estimates separate from observations.
Keep people in the loop
AI-generated insights support farmers, agronomists and extension officers; they do not replace field observations or professional judgement.
Services
What we help you understand.
01020304
View all services →Farm mapping
Boundaries, area calculations and spatial records.
CropIntel agriculture
AI-assisted crop, water, nutrition and irrigation intelligence for focused field checks.
Weather & forecasts
Recent rainfall and forward-looking context.
Environmental risk
Land, flood, mining and wildfire analysis.
Working method
Question first.
Method second.
Define
Share the location and decision.
Analyse
Combine suitable geospatial evidence with appropriate analytical and AI methods.
Explain
Receive a clear map and briefing.
Start with the question