Comparing machine learning approaches for estimating soil saturated hydraulic conductivity.
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| Title: | Comparing machine learning approaches for estimating soil saturated hydraulic conductivity. |
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| Authors: | Moosavi AA; Faculty of Agriculture, Department of Soil Science and Engineering, Shiraz University, Shiraz, IR Iran., Nematollahi MA; Faculty of Agriculture, Department of Biosystems Engineering, Shiraz University, Shiraz, IR Iran., Omidifard M; Faculty of Agriculture, Department of Soil Science and Engineering, Shiraz University, Shiraz, IR Iran. |
| Source: | PloS one [PLoS One] 2024 Nov 14; Vol. 19 (11), pp. e0310622. Date of Electronic Publication: 2024 Nov 14 (Print Publication: 2024). |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0310622 |
