Müncheberg
Germany
Leibniz-Centre for Agricultural Landscape Research (ZALF)
Interpretable machine learning, explainable artificial intelligence, agriculture, crop yield, no-tillage, maize
Deep learning, crop yield prediction, smallholder, coffee, precision agriculture
deep learning, sampling bias, citizen science, mobile pictures, coffee prediction
Machine learning, Spatial interpolation, monthly high-resolution groundwater level mapping, Random Forest for Spatial Interpolation
G3P (Global Gravity-based Groundwater Product)Groundwater Storage Anomalies (GWSA)DownscalingRandom Forest (RF)Multiscale Geographically Weighted Regression (MGWR)GRACE/GRACE-FOHigh-resolution Gridded Estimates