Work

Machine learning for predicting soil classes in three semi-arid landscapes

Year: 2014

Type: article

Source: Geoderma

DOI: 10.1016/j.geoderma.2014.09.019

Authors: Colby W. Brungard, Janis L. Boettinger, Michael C. Duniway, Skye A. Wills, Thomas C. Edwards

Institutions: Utah State University, Southwest Biological Science Center, Natural Resources Conservation Service, United States Department of Agriculture, United States Geological Survey

Language: English

Topic: Soil Geostatistics and Mapping

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Life on land

Open Access status: closed

Funders: Utah Agricultural Experiment Station, U.S. Bureau of Land Management

OpenAlex ID: W2089097786

FWCI: 15.52

Cites: 92

Cited by: 411

Related to: 10