Name Thomas Scholten Affiliation پژوهشگر خارجی Degree _ Website Email — JournalPaper Presentation Speech WorkShop Book Innovation GrantAttraction Thesis Festival FinishedProject Sales Art StandardCreation TitleJournal 1 High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran Geoderma Regional 2 Spatial prediction of soil properties through hybridized random forest model and combination of reflectance spectroscopy and environmental covariates Geocarto International 3 Land Use and Soil Organic Carbon Stocks—Change Detection over Time Using Digital Soil Assessment: A Case Study from Kamyaran Region, Iran (1988–2018) Agronomy-Basel 4 Assessing agricultural salt-affected land using digital soil mapping and hybridized random forests GEODERMA 5 Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models Agronomy-Basel