Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data
<p>Soil texture and soil particle size fractions (PSFs) play an increasing role in physical, chemical, and hydrological processes. Many previous studies have used machine-learning and log-ratio transformation methods for soil texture classification and soil PSF interpolation to improve the pre...
| Published in: | Hydrology and Earth System Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-05-01
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| Online Access: | https://www.hydrol-earth-syst-sci.net/24/2505/2020/hess-24-2505-2020.pdf |