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CIENCIA DE DATOS APLICADA A LA EXPLOTACIÓN DE SUBPRODUCTOS AGRÍCOLAS

Authors: Irma Noemi No; Adalberto Ascurra; Nadia Incaurgarat; Renzo Paredes;

CIENCIA DE DATOS APLICADA A LA EXPLOTACIÓN DE SUBPRODUCTOS AGRÍCOLAS

Abstract

El presente trabajo utiliza técnicas de aprendizaje automático para la localización ideal de una Planta Industrial productora de Bioetanol Lignocelulósico, considerando la demanda distribuida en las diferentes plantas mezcladoras de biocombustibles autorizadas por la Secretaría de Energía de la República Argentina. En la investigación se sostienen supuestos de correlación sobre las vías de transporte involucradas en el tráfico hacia las empresas consideradas como potenciales destinos para el procesamiento del rastrojo de maíz, sorgo y sus derivados, asignando pesos provincia-localidad que influirán en la recomendación final. El trabajo realizado arroja una ubicación concordante con el desarrollo cartográfico basado en el transporte de los cultivos mencionados. El soporte informático elegido para este desarrollo posibilitó la generación de un documento a ser distribuido como reproducible en el lenguaje de código abierto R a través de su entorno de desarrollo gratuito RStudio. Se obtiene un punto muy cercano a la localidad de Las Rosas Provincia de Santa Fe, ubicación que es confirmada analizando los factores críticos de ingeniería asociados a esta geolocalización. Este proyecto básicamente favorece las economías regionales, generando fuentes de empleo genuino y dando valor agregado a subproductos del sorgo y el maíz en el marco de las economías circulares.

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selected citations
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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).
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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.
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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.
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