A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation

Leonardo D. Garcia, Camilo Lozoya (), Antonio Favela-Contreras and Emanuele Giorgi
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Leonardo D. Garcia: Tecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico
Camilo Lozoya: Tecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico
Antonio Favela-Contreras: Tecnologico de Monterrey, School of Engineering and Science, Monterrey 64849, Mexico
Emanuele Giorgi: Tecnologico de Monterrey, School of Architecture, Art and Design, Monterrey 64849, Mexico

Sustainability, 2023, vol. 15, issue 14, 1-14

Abstract: Modeling and control theory applied to precision agriculture irrigation systems have been essential to reduce water consumption while growing healthy crops. Specifically, implementing closed-loop control irrigation based on soil moisture measurements is an effective approach for obtaining water savings in this resource-intensive activity. To enhance this strategy, the work presented in this paper proposed a new set of water management strategies for the case in which multiple irrigation areas share a single water supply source and compared them with heuristic approaches commonly used by farmers in practice. The proposed water allocation algorithms are based on techniques used in real-time computing, such as dynamic priority and feedback scheduling. Therefore, the multi-area irrigation system is presented as a resource allocation problem with availability constraints, where water consumption represents the main optimization parameter. The obtained results show that the data-driven water allocation strategies preserve the water savings for closed-loop control systems and avoid crop water stress due to the limited access to irrigation water.

Keywords: real-time computing; precision agriculture; closed-loop irrigation; water efficiency; feedback scheduling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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