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This paper introduces a model-agnostic approach designed to enhance uncertainty estimation in the predictive modeling of soil properties, a crucial factor for advancing pedometrics and the practice of digital soil mapping. For addressing the typical
Externí odkaz:
http://arxiv.org/abs/2409.11985
Autor:
Schmidinger, Jonas1,2 (AUTHOR) Jonas.Schmidinger@uni-osnabrueck.de, Schröter, Ingmar3 (AUTHOR), Bönecke, Eric4 (AUTHOR), Gebbers, Robin5 (AUTHOR), Ruehlmann, Joerg4 (AUTHOR), Kramer, Eckart3 (AUTHOR), Mulder, Vera L.6 (AUTHOR), Heuvelink, Gerard B. M.6,7 (AUTHOR), Vogel, Sebastian1 (AUTHOR)
Publikováno v:
Precision Agriculture. Jun2024, Vol. 25 Issue 3, p1529-1555. 27p.
Publikováno v:
In Geoderma September 2023 437