Motive

This thesis investigates the spatio-temporal variability of agricultural fields by combining two sources of imaging data: fixed sensors providing temporal series, and mobile sensors delivering spatial maps. The objective is to assess the relevance of...

Generative models are powerful methods that allow the synthesis of new data by approximating the probability distribution that describes a dataset. During the past decade, several works have demonstrated their utility to a wide range of applications,...