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dc.creatorRAFAEL CAMILO LOZOYA GAMEZ;66716
dc.creatorALBERTO AGUILAR GONZALEZ;163767
dc.creatorARMANDO ROMAN FLORES;46077
dc.creatorRODOLFO JULIO CASTELLO ZETINA;26094
dc.creatorRAFAEL CAMILO LOZOYA GAMEZ;66716es
dc.creatorALBERTO AGUILAR GONZALEZ;163767es
dc.creatorARMANDO ROMAN FLORES;46077es
dc.creatorRODOLFO JULIO CASTELLO ZETINA;26094es
dc.date2016
dc.date.accessioned2018-10-18T15:34:08Z
dc.date.available2018-10-18T15:34:08Z
dc.identifier.issn1687725X
dc.identifier.doi10.1155/2016/9784071
dc.identifier.urihttp://hdl.handle.net/11285/630270
dc.descriptionImproving the efficiency of the agricultural irrigation systems substantially contributes to sustainable water management. This improvement can be achieved through an automated irrigation system that includes a real-time control strategy based on the water, soil, and crop relationship. This paper presents a model driven control strategy applied to an irrigation system, in order to make an efficient use of water for large crop fields, that is, applying the correct amount of water in the correct place at the right moment. The proposed model uses a predictive algorithm that senses soil moisture and weather variables, to determine optimal amount of water required by the crop. This proposed approach is evaluated against a traditional irrigation system based on the empirical definition of time periods and against a basic soil moisture control system. Results indicate that the use of a model predictive control in an irrigation system achieves a higher efficiency and significantly reduce the water consumption. © 2016 Camilo Lozoya et al.
dc.languageeng
dc.publisherHindawi Limited
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85000733301&doi=10.1155%2f2016%2f9784071&partnerID=40&md5=af5f089fb860a446bff72f2a4859f385
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceJournal of Sensors
dc.subjectComputer control systems
dc.subjectCrops
dc.subjectEfficiency
dc.subjectIrrigation
dc.subjectModel predictive control
dc.subjectMoisture
dc.subjectReal time control
dc.subjectSoil moisture
dc.subjectSoils
dc.subjectWater conservation
dc.subjectWater management
dc.subjectAgricultural irrigation
dc.subjectEfficient use of water
dc.subjectModel driven control
dc.subjectPrecision irrigation
dc.subjectPredictive algorithms
dc.subjectReal-time control strategy
dc.subjectSustainable water management
dc.subjectTraditional irrigation
dc.subjectMoisture control
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleSensor-Based Model Driven Control Strategy for Precision Irrigation
dc.typeArtículo
dc.identifier.volume2016
refterms.dateFOA2018-10-18T15:34:08Z


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