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A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression

dc.contributor.authorGarcía Nieto, Paulino José 
dc.contributor.authorGarcía Gonzalo, María Esperanza 
dc.contributor.authorPuig Bargués, J.
dc.contributor.authorSolé Torres, C.
dc.contributor.authorDurán Ros, M.
dc.contributor.authorArbat, G.
dc.date.accessioned2020-06-26T07:56:36Z
dc.date.available2020-06-26T07:56:36Z
dc.date.issued2020
dc.identifier.citationComputers and Electronics in Agriculture, 170, p. 105292- (2020); doi:10.1016/j.compag.2020.105292
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/10651/55038
dc.description.sponsorshipAuthors wish to acknowledge the computational support provided by the Department of Mathematics at University of Oviedo as well as financial support of the Spanish Research Agency through grants AGL2015-63750-R and RTI2018-094798-B-100 . Additionally, we would like to thank Anthony Ashworth for his revision of English grammar and spelling of the manuscript.
dc.format.extentp. 105292-
dc.language.isoeng
dc.relation.ispartofComputers and Electronics in Agriculture
dc.rights© 2020 Elsevier B.V. All rights reserved.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079416579&doi=10.1016%2fj.compag.2020.105292&partnerID=40&md5=47a14019c6e9e64920ab6abf9a8bd010
dc.titleA new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression
dc.typejournal article
dc.identifier.doi10.1016/j.compag.2020.105292
dc.relation.projectIDAGL2015-63750-R
dc.relation.projectIDRTI2018-094798-B-100
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.compag.2020.105292


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