What information products can be extracted from Earth Observation data?
Crop type verification
We have integrated machine learning algorithms to identify planted crops for subsidies controls and IAC Systems. See here for more details.
ag|knowledge provides automated extraction of phenology parameters and delivers markers that can be used e.g. to validate subsidy claims:
Start of Season
Peak of Season
End of Season
Duration of Season
Crop growth stages
Crop growth rate
See here for more details.
Forest water stress product
We have a product to detect and map forest water stress and potential damage areas. See here for more details.
Outlier & Anomaly detection
Our Outlier and anomaly detection feature compares fields with its neighbours and provides information whether a crop field is deviating from the norm due to different management practices, weather conditions, pests, delayed sowing or drought.
We deliver Management Zones maps based on the historical growth on your fields. These tell you how individual parts of your fields have to be treated differently due to soil, topographic or hydraulic properties.
We provide smallholder support by creating transparency of the land through crop and land use classification based on machine learning and EO data analysis.
In the frame of portfolio management, subsidy, finance and insurance management it is important to get reliable information about yield loss, damages or crop growth in general. This is what our crop performance products deliver by combining weather data with up-to-date crop growth information.