Earth Observation · Machine Learning · Space
AI-based prediction of yield, quality and optimal mowing time for permanent grassland
SmartCut combines Earth observation, weather and field data with AI to predict the optimal mowing and fertilisation dates for permanent grassland – increasing productivity, forage quality and sustainable milk production.
AI-accelerated urban climate simulation for digital twins
KIB-UDZ develops ADAPT, an AI-based tool that lets municipalities simulate heat and heavy-rain adaptation measures in urban digital twins within seconds — combining the PALM-4U climate model with efficient machine learning.
Earth Observation for Agriculture
We use satellite imagery to predict agricultural yield reliably and early in the season, helping to use resources more efficiently and to make informed agronomic decisions.
Detecting floods from space
Machine learning tools automatically segment flooded areas in satellite imagery and help emergency personnel identify the hotspots where help is needed most.
Understanding and predicting air quality
Reliable and timely air-quality forecasts help take effective counter-measures and support informed decisions by authorities.