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dc.contributor.authorCambra Baseca, Carlos 
dc.contributor.authorSendra, Sandra
dc.contributor.authorLloret, Jaime
dc.contributor.authorTomás, Jesús
dc.date.accessioned2024-01-16T22:04:55Z
dc.date.available2024-01-16T22:04:55Z
dc.date.issued2019
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10259/8356
dc.description.abstractNew technologies have the potential to transform agriculture and to reduce environmental impact through a green revolution. Internet of Things (IoT)-based application development platforms have the potential to run farm management tools capable of monitoring real-time events when integrated into interactive innovation models for fertirrigation. Their capabilities must extend to flexible reconfiguration of programmed actions. IoT platforms require complex smart decision-making systems based on data-analysis and data mining of big data sets. In this paper, the advantages are demonstrated of a powerful tool that applies real-time decisions from data such as variable rate irrigation, and selected parameters from field and weather conditions. The field parameters, the index vegetation (estimated using aerial images), and the irrigation events, such as flow level, pressure level, and wind speed, are periodically sampled. Data is processed in a decision-making system based on learning prediction rules in conjunction with the Drools rule engine. The multimedia platform can be remotely controlled, and offers a smart farming open data network with shared restriction levels for information exchange oriented to farmers, the fertilizer provider, and agricultural technicians that should provide the farmer with added value in the form of better decision making or more efficient exploitation operations and management.en
dc.description.sponsorshipThis paper has been partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by the “Ministerio de Ciencia, Innovación y Universidades” through the “Ayudas para la adquisición de equipamiento científico-técnico, Subprograma estatal de infraestructuras de investigación y equipamiento científico-técnico (plan Estatal i+d+i 2017-2020)” (project EQC2018-004988-P).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofAgronomy. 2019, V. 9, n. 5, 216es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSmart farmingen
dc.subjectIoT farmingen
dc.subjectAgriculture smart systemen
dc.subjectWSN agricultureen
dc.subjectDigital farmingen
dc.subject.otherIngeniería civiles
dc.subject.otherCivil engineeringen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleA Smart Decision System for Digital Farmingen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/agronomy9050216es
dc.identifier.doi10.3390/agronomy9050216
dc.identifier.essn2073-4395
dc.journal.titleAgronomyes
dc.volume.number9es
dc.issue.number5es
dc.page.initial216es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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