Aplicación de los sensores IOT en la agroindustria: estudio taxonómico del modelo GMAAS según el procesamiento de datos

John German Vera Luzuriaga, Santiago Alejandro Lopez Ortiz, Alex Andrés Vaca Valle, Mario David Borja Mera

Resumen


La industria 4.0 es un nuevo paradigma que ha tomado terreno dentro de la agroindustria donde se ha observado una creciente aparición de trabajos científicos sobre la utilización de aplicaciones IoT. Un nuevo modelo basado en IoT es el GMaaS el cual requiere del uso de sensores que midan variables físicas ambientales. El objetivo del artículo es encontrar una taxonomía que tenga un buen criterio y permita determinar características generales del tipo de sensores que el modelo GMaaS requiere. Se realizó una revisión bibliográfica sobre las IoT en la agroindustria para determinar modelos taxonómicos y mediante criterios de selección se optó por usar una taxonomía basada en la frecuencia de muestreo y procesado de los datos. Se estudiaron dos casos donde el modelo GMaaS fue utilizado y extrajimos la información relevante sobre los sensores y mediante la descripción se determinó el grupo taxonómico de cada uno. Los resultados que se obtuvieron permitieron concluir que los sensores usados en GMaaS suelen ser del tipo de rango de muestra invariante.


Palabras clave


Agroindustria; Industria 4.0; Modelo de invernadero (GmaaS); Sensores IoT.

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Referencias


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DOI: https://doi.org/10.23857/pc.v8i3.5291

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