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Economic model predictive control for interactions of water sources connected crop field

dc.contributor.authorCáceres Rodríguez, Gabriela Belén
dc.contributor.authorPereira Martín, Mario
dc.contributor.authorMillán Gata, Pablo 
dc.date.accessioned2023-10-10T08:03:16Z
dc.date.available2023-10-10T08:03:16Z
dc.date.issued2022
dc.identifier.citationIFAC PapersOnline 2022, 55(32), 194-199es
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/20.500.12412/4348
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.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEconomic model predictive control for interactions of water sources connected crop fieldes
dc.typearticlees
dc.identifier.doi10.1016/j.ifacol.2022.11.138
dc.issue.number32es
dc.journal.titleIFAC - Paper On Linees
dc.page.initial194es
dc.page.final199es
dc.rights.accessRightsopenAccesses
dc.volume.number55es


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional