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

Authors

CÁCERES RODRIGUEZ, GABRIELA BELÉN, PEREIRA MARTÍN, MARIO, MILLÁN GATA, PABLO

External publication

No

Means

IFAC-PapersOnLine

Scope

Proceedings Paper

Nature

Científica

JCR Quartile

SJR Quartile

SJR Impact

0.354

Publication date

22/11/2022

ISI

000889052400034

Scopus Id

2-s2.0-85144818030

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; Volumetric water content; Water source; Water usage; Irrigation