Spatial prediction of major soil properties using Random Forest techniques - A case study in semi-arid tropics of South India-Reference-Cited by-同舟云学术

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Spatial prediction of major soil properties using Random Forest techniques - A case study in semi-arid tropics of South India

Published:2017-09 Issue: Volume:10 Page:154-162
ISSN:2352-0094
Container-title:Geoderma Regional
language:en
Short-container-title:Geoderma Regional

Author:

Dharumarajan S.,Hegde Rajendra,Singh S.K.

Publisher

Elsevier BV

Subject

Soil Science

Reference56 articles.

1. Digital mapping of soil organic carbon contents and stocks in Denmark;Adhikari;PLoS One,2014

2. Digital mapping of soil particle-size fractions for Nigeria;Akpa;Soil Sci. Soc. Am. J.,2014

3. Spatial prediction of soil organic carbon of crete by using geostatistics;Aksoy,2012

4. Random forests;Breiman;Mach. Learn.,2001

5. Classification and Regression Trees- Wadsworth & Brooks Wadsworth Statistics/Probability Series;Breiman,1984

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