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Disentangling Jenny’s equation by machine learning
dc.contributor.author | Prieto Castrillo, Francisco | |
dc.contributor.author | Rodríguez Rastrero, M. | |
dc.contributor.author | Yunta, F. | |
dc.contributor.author | Borondo, F. | |
dc.contributor.author | Borondo, J. | |
dc.date.accessioned | 2024-01-23T08:01:40Z | |
dc.date.available | 2024-01-23T08:01:40Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Scientific Reports, 13 (2023); doi:10.1038/s41598-023-44171-x | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://hdl.handle.net/10651/70960 | |
dc.description.sponsorship | This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities, Gobierno de España, under Contract No. PID2021-122711NB-C21. The authors wish to thank Ricardo Pérez-Ochoa (Gov- ernment of Asturias) and José Gumuzzio, for facilitating access to basic soil information, and Javier Rodríguez Alonso (INIA, Madrid), for managing georeferenced data. | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | Scientific Reports, 13 | spa |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights | © The Author(s) 2023 | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Disentangling Jenny’s equation by machine learning | spa |
dc.type | journal article | spa |
dc.identifier.doi | 10.1038/s41598-023-44171-x | |
dc.relation.projectID | PID2021-122711NB-C21 | spa |
dc.relation.publisherversion | https://doi.org/10.1038/s41598-023-44171-x | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | VoR | spa |
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