Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging.

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第一作者： Prince Chapman,Agyeman

第一单位： Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500, Prague, Czech Republic. Electronic address: agyeman@af.czu.cz.

作者： Prince Chapman,Agyeman ^[1] ; John,Kingsley ^[2] ; Ndiye Michael,Kebonye ^[3] ; Vahid,Khosravi ^[2] ; Luboš,Borůvka ^[2] ; Radim,Vašát ^[2]

作者单位： Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500, Prague, Czech Republic. Electronic address: agyeman@af.czu.cz. ^[1] Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500, Prague, Czech Republic. ^[2] Department of Geosciences, Chair of Soil Science and Geomorphology, University of Tübingen, Rümelinstr. 19-23, Tübingen, Germany; DFG Cluster of Excellence "Machine Learning", University of Tübingen, AI Research Building, Maria-von-Linden-Str. 6, Tübingen, 72076, Germany. ^[3]

关键词 Agricultural soil Data fusion Regression kriging Terrain attributes Uncertainty

主题词土壤(Soil);锑(Antimony);农业(Agriculture)

DOI 10.1016/j.envpol.2022.120697

PMID 36403872

发布时间 2022-12-07

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