High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
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Title
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
Authors
Keywords
Agricultural soil science, Forecasting, Machine learning, Support vector machines, Paleopedology, Clay mineralogy, Cation exchange capacity, Remote sensing
Journal
PLoS One
Volume 12, Issue 1, Pages e0170478
Publisher
Public Library of Science (PLoS)
Online
2017-01-24
DOI
10.1371/journal.pone.0170478
References
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