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Control PI neuro-adaptable en tiempo real de la humedad en el suelo usando un modelo híbrido

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Control PI neuro-adaptable en tiempo real de la humedad en el suelo usando un modelo híbrido

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Gomez, J.; Rossomando, F.; Capraro, F.; Soria, C. (2022). Control PI neuro-adaptable en tiempo real de la humedad en el suelo usando un modelo híbrido. Revista Iberoamericana de Automática e Informática industrial. 20(1):93-103. https://doi.org/10.4995/riai.2022.17106

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Título: Control PI neuro-adaptable en tiempo real de la humedad en el suelo usando un modelo híbrido
Otro titulo: Real-time neuro-adaptive PI control of soil moisture using a hybrid model
Autor: Gomez, Juan Rossomando, Francisco Capraro, Flavio Soria, Carlos
Fecha difusión:
Resumen:
[EN] In the agriculture developed in the mountain valleys of Argentina, the efficient use of water for irrigation is essential for the development and sustainability of agricultural enterprises. In order to address this ...[+]


[ES] En la agricultura que se desarrolla en los valles cordilleranos de Argentina, el uso eficiente del agua destinada para el riego es fundamental para el desarrollo y sustentabilidad de los emprendimientos agrícolas. A ...[+]
Palabras clave: Precise irrigation , Soil moisture model , Drip irrigation , Neural PI control , Riego preciso , Modelo de humedad del suelo , Riego por goteo , Control PI neuronal
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2022.17106
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/riai.2022.17106
Agradecimientos:
Este trabajo ha sido realizado gracias al apoyo de la Universidad Nacional de San Juan y del Consejo Nacional de Investigaciones científicas y Técnicas (CONICET) de Argentina.
Tipo: Artículo

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