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Dielectric wetness sensors are used in agriculture to detect the presence ofwater on foliage and to predict the risk of disease development. The measuredelectrical signal has a base level drift that skews the alerts. We propose amethod for estimating this baseline using L1 and selecting local minimums at anobservation scale. The performance of the estimator is evaluated on simulateddata and compared to the literature estimators.

Estimation de ligne de base de capteurs d'humectation : int{\'e}gration et minimum locaux {\`a} diff{\'e}rentes {\'e}chelles