SOIL
SOIL
SOIL
Articles | Volume 6, issue 1
Articles | Volume 6, issue 1
https://doi.org/10.5194/soil-6-35-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-6-35-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 1
Review article
 | Highlight paper
 | 
06 Feb 2020
Review article | Highlight paper |  | 06 Feb 2020

Machine learning and soil sciences: a review aided by machine learning tools

José Padarian, Budiman Minasny, and Alex B. McBratney

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Short summary
The application of machine learning (ML) has shown an accelerated adoption in soil sciences. It is a difficult task to manually review all papers on the application of ML. This paper aims to provide a review of the application of ML aided by topic modelling in order to find patterns in a large collection of publications. The objective is to gain insight into the applications and to discuss research gaps. We found 12 main topics and that ML methods usually perform better than traditional ones.
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