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Development and functional evaluation of pedotransfer functions for soil hydraulic properties for the Zambezi River Basin
Authors:Mulenga Kalumba  Brecht Bamps  Imasiku Nyambe  Stefaan Dondeyne  Jos Van Orshoven
Affiliation:1. Department of Earth and Environmental Sciences, University of Leuven, Leuven, Belgium;2. Department of Geology, School of Mines, The University of Zambia, Lusaka, Zambia

Contribution: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Validation, Writing - review & editing;3. Department of Geography, Ghent University, Ghent, Belgium

Contribution: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Validation, Writing - review & editing;4. Department of Earth and Environmental Sciences, University of Leuven, Leuven, Belgium

Contribution: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Validation, Writing - review & editing

Abstract:
Keywords:artificial neural network  machine learning  multiple linear regression  random forest  saturated hydraulic conductivity  support vector machine
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