Title Economic model predictive control for interactions of water sources connected crop field
External publication No
Means IFAC-PapersOnLine
Scope Proceedings Paper
Nature Científica
SJR Impact 0.354
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144818030&doi=10.1016%2fj.ifacol.2022.11.138&partnerID=40&md5=2a27242e292a387603e62a2c37b6c3cb
Publication date 22/11/2022
ISI 000889052400034
Scopus Id 2-s2.0-85144818030
DOI 10.1016/j.ifacol.2022.11.138
Abstract Interest 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. Copyright (C) 2022 The Authors.
Keywords Crops; Economics; Groundwater; Model predictive control; Reservoirs (water); Crop fields; Crop yield; Economic models; Energy cost; Hydrological models; Model-predictive control; Non linear; Volumetri
Universidad Loyola members

Change your preferences Manage cookies