articleEcological IndicatorsJan 21, 2015Closed access

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

KWKennedy WereDTDieu Tien BuiØBØystein B. DickBRBal Ram Singh

Norwegian University of Life Sciences · Kenya Agricultural Research Institute · +1 more institution

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Topics & keywords

Topics
Keywords
  • Random forest
  • Mean squared error
  • Support vector machine
  • Environmental science
  • Soil carbon
  • Artificial neural network
  • Regression
  • Climate change
UN Sustainable Development Goals
  • Life in Land
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