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Development of pre-harvest crop yield forecasts with satellite remote sensing data

CROPYIELD

Development of a model to produce pre-harvest crop yield forecasts from remote sensing data.

We established a pilot case of an automated process for improved crop yield statistics by merging EO data, the administrative data, agro-meteorological data, and historical crop statistics survey data. The novelty of the approach is that the previously very laborious data acquisition from different sources and processing of multistep modelling is now by design fully automated, and thus, can reduce spent on professional surveying.