dc.contributor.author | Navarro Hellín, Honorio | |
dc.contributor.author | Martínez del Rincón, Jesús | |
dc.contributor.author | Domingo Miguel, Rafael | |
dc.contributor.author | Soto Vallés, Fulgencio | |
dc.contributor.author | Torres Sánchez, Roque | |
dc.date.accessioned | 2017-03-23T09:28:20Z | |
dc.date.available | 2017-03-23T09:28:20Z | |
dc.date.issued | 2016-04-11 | |
dc.identifier.citation | Navarro Hellín, H., Martínez del Rincon, J., Domingo-Miguel, R., Soto Valles, F., Torres-Sánchez, R. Computers and Electronics in Agriculture. Elsevier, 2016. 124, 121–131 | es_ES |
dc.identifier.issn | 0168-1699 | |
dc.description.abstract | In 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. Two machine 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.sponsorship | The development of this work was supported by the Spanish
Ministry of Science and Innovation through the projects MICINN,
AGL2010-19201-C04-04 and Spanish Ministry of Economy and
Competitiveness 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.format | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.title | A decision support system for managing irrigation in agriculture | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.subject | Decision support system | es_ES |
dc.subject | Water optimisation | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | Irrigation | es_ES |
dc.subject.other | Producción Vegetal | es_ES |
dc.identifier.uri | http://hdl.handle.net/10317/5809 | |
dc.peerreview | sí | es_ES |
dc.identifier.doi | http://dx.doi.org/10.1016/j.compag.2016.04.003 | |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es_ES |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es_ES |
dc.subject.unesco | 5102.01 Agricultura | es_ES |
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