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Article . 2018 . Peer-reviewed
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Sistema Inteligente para controlar sistemas de riego en México

Authors: Gloria del Carmen Rendón-Sustaita; José Ángel Domínguez-López; Myriam Araceli Martínez-Rodríguez; Óscar Adrián Garay-Molina; Dante Israel Juárez-Pedraza;

Sistema Inteligente para controlar sistemas de riego en México

Abstract

El consumo de agua en México es la octava mayor en el mundo, principalmente debido al tamaño de la población (11° país más poblado). El presente artículo muestra como al aplicar la inteligencia artificial para el control de los sistemas de riego en las zonas agrícolas de México, este mejora su funcionamiento al controlar la salida de agua a partir de que el sistema inteligente manipula los regadores de acuerdo a las necesidades que requiere cada parte del sembradío. Los procesos utilizados en los sistemas de riego automatizados se enfrentan a un problema único, no se han mejorado para el aprovechamiento óptimo de este vital líquido, haciendo un gasto innecesario de la misma, estos sectores se dividen en México en sector agrícola, sector privado y sector público. En la actualidad, en México no existe un software ni proceso parecido al sistema de riego inteligente Magros, que utilizando electroválvulas a partir de sensores de visión, ofrece una solución pertinente

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold