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dc.contributor.authorNavarro Hellín, Honorio 
dc.contributor.authorMartínez del Rincón, Jesús 
dc.contributor.authorDomingo Miguel, Rafael 
dc.contributor.authorSoto Vallés, Fulgencio 
dc.contributor.authorTorres Sánchez, Roque 
dc.date.accessioned2017-03-30T10:08:30Z
dc.date.available2017-03-30T10:08:30Z
dc.date.issued2016-04-08
dc.identifier.citationNavarro-Hellín, H., et al. A decision support system for managing irrigation in agriculture. Computers and Electronics in Agriculture, 2016. p. 121-131. ISSN: 0168-1699es_ES
dc.identifier.issn0168-1699
dc.description.abstractIn this paper, an automatic Smart Irrigation Decision Support System, SIDSS, is proposed to manage irrigation in agriculture. Our system estimates the weekly irrigations needs of a plantation, on the basis of both soil measurements and climatic variables gathered by several autonomous nodes deployed in field. This enables a closed loop control scheme to adapt the decision support system to local perturbations and estimation errors. Twomachine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of our SIDSS. Our approach is validated on three commercial plantations of citrus trees located in the South-East of Spain. Performance is tested against decisions taken by a human expert.es_ES
dc.description.sponsorshipThe development of this work was supported by the Spanish Ministry of Science and Innovation through the projects MICINN, AGL2010-19201-C04-04 and MINECO, AGL2013-49047-C2-1-R. We would like to thank Widhoc Smart Solutions S.L. and Queen’s Belfast University for letting us use their facilities and equipment to carry out the tests.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleA decision support system for managing irrigation in agriculturaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subjectIrrigationes_ES
dc.subjectDecision support systemes_ES
dc.subjectWater optimisationes_ES
dc.subjectMachine learninges_ES
dc.identifier.urihttp://hdl.handle.net/10317/5824
dc.identifier.doi10.1016/j.compag.2016.04.003
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.subject.unesco3102.05 Riegoes_ES


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