Mr. Florian TESTE

Florian is a CIFRE PhD student at MIA-Paris (AgroParisTech) and Atos; he works under David Makowski’s supervision. This thesis aims to develop and test a methodological framework for predicting global agricultural commodity price variations based directly on high-resolution satellite data. If successful, the proposed approach will allow the prediction of price variations in real-time, avoiding the use of regional agricultural production and demand values, which are often unavailable and uncertain. Our approach will be based on machine learning algorithms that identify critical features of satellite images with solid predictive capabilities.