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Article

Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time

1
Department of Plant Production and Agricultural Technology, School of Advanced Agricultural Engineering, University of Castilla-La Mancha, Campus Universitario, s/n, 02071 Albacete, Spain
2
Department of Agronomy, University of Córdoba, Campus Rabanales, Edif. da Vinci, 14071 Córdoba, Spain
3
Electrical Engineering Department, University of Cordoba, Campos Rabanales, Edif. Da Vinci, 14071 Córdoba, Spain
*
Author to whom correspondence should be addressed.
Water 2019, 11(7), 1508; https://doi.org/10.3390/w11071508
Received: 26 June 2019 / Revised: 17 July 2019 / Accepted: 18 July 2019 / Published: 21 July 2019
(This article belongs to the Special Issue Optimization of Irrigation Scheduling: Challenges and Perspectives)
Climate change, water scarcity and higher energy requirements and electric tariff compromises the continuity of the irrigated agriculture. Precision agriculture (PA) or renewable energy sources which are based on communication and information technologies and a large amount of data are key to ensuring this economic activity and guaranteeing food security at the global level. Several works which are based on the use of PA and renewable energy sources have been developed in order to optimize different variables of irrigated agriculture such as irrigation scheduling. However, the large amount of technologies and sensors that these models need to be implemented are still far from being easily accessible and usable by farmers. In this way, a middleware called Real time Smart Solar Irrigation Manager (RESSIM) has been developed in this work and implemented in MATLABTM with the aim to provide to farmers a user-friendly tool for the daily making decision process of irrigation scheduling using a smart photovoltaic irrigation management module. RESSIM middleware was successfully tested in a real field during a full irrigation season of olive trees using a real smart photovoltaic irrigation system. View Full-Text
Keywords: irrigation scheduling; precision agriculture; sustainable irrigation; software; ICTs; hydraulic modelling irrigation scheduling; precision agriculture; sustainable irrigation; software; ICTs; hydraulic modelling
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MDPI and ACS Style

González Perea, R.; Mérida García, A.; Fernández García, I.; Camacho Poyato, E.; Montesinos, P.; Rodríguez Díaz, J.A. Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time. Water 2019, 11, 1508. https://doi.org/10.3390/w11071508

AMA Style

González Perea R, Mérida García A, Fernández García I, Camacho Poyato E, Montesinos P, Rodríguez Díaz JA. Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time. Water. 2019; 11(7):1508. https://doi.org/10.3390/w11071508

Chicago/Turabian Style

González Perea, Rafael; Mérida García, Aida; Fernández García, Irene; Camacho Poyato, Emilio; Montesinos, Pilar; Rodríguez Díaz, Juan A. 2019. "Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time" Water 11, no. 7: 1508. https://doi.org/10.3390/w11071508

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