  Dielectric wetness sensors are used in agriculture to detect the presence of
water on foliage and to predict the risk of disease development. The measured
electrical signal has a base level drift that skews the alerts. We propose a
method for estimating this baseline using L1 and selecting local minimums at an
observation scale. The performance of the estimator is evaluated on simulated
data and compared to the literature estimators.
