
Digital twin




How it works
Step1
IDENTIFY
We use process-based hydrology-crop simulation models and the latest climate data from the European Centre for Medium-Range Weather Forecasts, combined with machine learning, to estimate real time food supply, demand and trade for all major crops. Conversion of crop to food is based on the latest FAO statistics.
Step2
TRACK
We track - monthly - the impact of weather volatility on the food system, the stocks, the production and the demand, and any changes in the amount of water needed for crop production.
Step3
TRACE
Our Climate-Food Security Risk Index is based on a combination of current conditions and production forecasts, and attributes the impact of weather. The risk index can be tailored to specific commodities or regions.
Step4
MONITOR
We provide ongoing monitoring of changes in resource use and rates of development, comparing these against projections of future water and food demand.