| Title |
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 |
| SJR Impact |
0.35400 |
| 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 |
|
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