Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
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Title
Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
Authors
Keywords
Machine learning, Agricultural soil science, Linear regression analysis, Forecasting, Africa, Soil ecology, Machine learning algorithms, Absorption spectroscopy
Journal
PLoS One
Volume 10, Issue 6, Pages e0125814
Publisher
Public Library of Science (PLoS)
Online
2015-06-26
DOI
10.1371/journal.pone.0125814
References
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