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

Artículos [34677]
Investigaciones y Documentos OpenAIRE [7591]
Publicaciones resultado de proyectos financiados con fondos públicos
Matemáticas [297]

Este ítem está sujeto a una licencia Creative Commons