Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic
Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial. Digital soil mapping (DSM) is a suitable way to evaluate spatial distribution of soil properties thanks to its ability t...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Czech Academy of Agricultural Sciences
2024-02-01
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| Serie: | Soil and Water Research |
| Soggetti: | |
| Accesso online: | https://swr.agriculturejournals.cz/artkey/swr-202401-0003_digital-soil-mapping-using-machine-learning-based-methods-to-predict-soil-organic-carbon-in-two-different-distr.php |
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