spacebayes is building world risk models for agriculture
This summer, persistent heat and water shortages cut EU summer crop yields by up to 14% below average and global food prices hit a three-year high.
Historical records alone are no longer good enough to forecast such extreme events.
At spacebayes, we fuse layers of satellite, climate, weather and historical data into a proprietary probabilistic model, combining natural catastrophe modeling with early yield forecasting, on regional and national levels.
Our goal is to create world risk models for agriculture: crop-specific, granular models of how extreme events affect yield shortfalls.
We are starting with rapeseed in Germany. We will extend our product offering to other crops and use cases, including regenerative agriculture.
Who we work with
Who we are
spacebayes brings together hands-on expertise in climate and probabilistic modeling, remote sensing and GIS engineering, with advisors from agronomy and financial economics.
Dr. Olivera Stojanović Founder
Geospatial, Bayesian modeling
Varvara Vladimirova
Landscape Data Analyst
William Henshaw
Geospatial Data Engineer
Olivia Jákli
Data Analyst, Remote Sensing
Working on crop yield or physical climate risk?
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