e-shape – EU CAP Support Pilot: A machine learning enabled system for dynamic phenology estimation and yield prediction using satellite and in-situ observations

Vassilis Sitokonstantinou

by Vassilis Sitokonstantinou, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing

Under the framework of e-shape H2020 EU project and the S1P2 EU CAP Support pilot, a number of novel services are developed as an integrated smart farming system; targeting farmers, farmers’ associations, paying agencies of the Common Agricultural Policy (CAP), but also the agri-insurance sector. The services comprise of the near-real time identification of the onset of key phenological stages and the timely prediction of yield.

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Developing tailored services for the agro-insurance sector over northern Greece: The case of Rodopi / cotton crop

Nikolaos S. Bartsotas

by Nikolaos Bartsotas, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing

Under the framework of e-shape H2020 EU project and S6P4 ResAgri pilot, a number of novel services are developed as an integrated system for the insurance company sector as well as farmers’ associations. They combine a 40-year long record of meteorological reanalyses (1980-present) to build an adverse selection tool based upon the historical risk from individual weather perils.

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