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dc.creatorCáceres Rodríguez, Gabriela Belénes
dc.creatorPereira Martín, Marioes
dc.creatorMillán Millán, Pablo Manueles
dc.date.accessioned2024-01-17T11:11:37Z
dc.date.available2024-01-17T11:11:37Z
dc.date.issued2022
dc.identifier.citationCáceres Rodríguez, G.B., Pereira Martín, M. y Millán Millán, P.M. (2022). Economic model predictive control for interactions of water sources connected crop field. IFAC-Papers OnLine, 55 (32), 194-199. https://doi.org/10.1016/j.ifacol.2022.11.138.
dc.identifier.issn2405-8963es
dc.identifier.urihttps://hdl.handle.net/11441/153502
dc.description.abstractInterest in predicting and optimizing irrigation to minimize water usage in agriculture is growing. In this paper, we present how different water sources interconnected in a farm (surface and underground reservoirs) can provide the optimal amount of water to the crop, considering the water available in each water source and the energy cost associated with pumping, without compromising the crop yield. For this purpose, the formulated economic Model Predictive Control makes use of the dynamical non-linear agro-hydrological model, considering the Volumetric Water Content (VWC) at different depths of the soil and the mass balance of the surface reservoir to generate optimal interactions and flow control strategies from the water sources to the crop field to meet future irrigation demands and finally consider the use of these water sources to alleviate the effects of environmental changes and water scarcity.es
dc.formatapplication/pdfes
dc.format.extent6 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofIFAC-Papers OnLine, 55 (32), 194-199.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictive controles
dc.subjectIrrigationes
dc.subjectOptimizinges
dc.titleEconomic model predictive control for interactions of water sources connected crop fieldes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Proyectos Arquitectónicoses
dc.relation.projectIDGrant 2020/ACDE/000192es
dc.relation.projectIDPY20-RE-017-LOYOLAes
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896322027719?via%3Dihubes
dc.identifier.doi10.1016/j.ifacol.2022.11.138es
dc.contributor.groupUniversidad de Sevilla. HUM958: In-Gentes [investigación en Generación de Territorios]es
dc.journaltitleIFAC-Papers OnLinees
dc.publication.volumen55es
dc.publication.issue32es
dc.publication.initialPage194es
dc.publication.endPage199es
dc.contributor.funderAgencia Española de Cooperación Internacional para el Desarrollo (AECID)es
dc.contributor.funderJunta de Andalucíaes

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