Business Intelligence Applied to Corn Productivity

The following research was developed in the town of Tasco, Boyacá, with information retrieved from Colombia’s open data webpage on agricultural evaluation from 2011 to 2017. The town evidences that corn growing fields are changing the harvested area production, altering the performance rendered per...

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Main Authors: Serna-Vargas, Julián Camilo, Camargo-Vega, Juan José
Format: Online
Language:spa
Published: Universidad Pedagógica y Tecnológica de Colombia 2020
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/11741
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author Serna-Vargas, Julián Camilo
Camargo-Vega, Juan José
author_facet Serna-Vargas, Julián Camilo
Camargo-Vega, Juan José
author_sort Serna-Vargas, Julián Camilo
collection OJS
description The following research was developed in the town of Tasco, Boyacá, with information retrieved from Colombia’s open data webpage on agricultural evaluation from 2011 to 2017. The town evidences that corn growing fields are changing the harvested area production, altering the performance rendered per semester. The cause of this problem is that the corn growth productivity varies each year, depending on the seeded area and the altitude of the terrain. One of the main objectives is to determine the connection between the production of the harvested corn area and the altitude in which it was harvested, using business intelligence tools. The investigation’s design was non-experimental, since previously established variables were not modified. In the same way, the investigation is based on a cross-sectional design, because the required data was retrieved in a single moment during the investigation. Using probability sampling, each element from the sample can be selected.
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spelling oai:oai.revistas.uptc.edu.co:article-117412021-07-12T08:02:40Z Business Intelligence Applied to Corn Productivity Inteligencia de negocios aplicada a la productividad del maíz Serna-Vargas, Julián Camilo Camargo-Vega, Juan José altitud datos abiertos inteligencia de negocios producción altitude business intelligence open data production The following research was developed in the town of Tasco, Boyacá, with information retrieved from Colombia’s open data webpage on agricultural evaluation from 2011 to 2017. The town evidences that corn growing fields are changing the harvested area production, altering the performance rendered per semester. The cause of this problem is that the corn growth productivity varies each year, depending on the seeded area and the altitude of the terrain. One of the main objectives is to determine the connection between the production of the harvested corn area and the altitude in which it was harvested, using business intelligence tools. The investigation’s design was non-experimental, since previously established variables were not modified. In the same way, the investigation is based on a cross-sectional design, because the required data was retrieved in a single moment during the investigation. Using probability sampling, each element from the sample can be selected. La presente investigación se realizó con información de los años 2011 a 2017 sobre la evaluación agropecuaria del departamento de Boyacá, publicada en la página de datos abiertos de Colombia. El municipio evidencia que los terrenos donde se cultiva el maíz van cambiando la producción del área cosechada, resultando en una diferencia en el rendimiento semestral. Se identificó que la causa del problema consistía en que la productividad del cultivo de maíz varía cada semestre, dependiendo del área sembrada y de la altura del terreno donde se siembra. Se planteó como objetivo fundamental el poder determinar, por medio de herramientas de Inteligencia de Negocios, la relación entre la producción del área cosechada de maíz y la altura a la cual se sembró. Respecto al diseño de la investigación, se determinó de tipo no experimental, pues no se modificaron las variables previamente definidas. Asimismo, está basada en el diseño transversal, debido a que la información requerida se toma en un único momento de la investigación. La muestra fue probabilística, donde cada elemento de la muestra puede ser seleccionado. Universidad Pedagógica y Tecnológica de Colombia 2020-07-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/xml https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/11741 10.19053/01201190.n29.2020.11741 Pensamiento y Acción; No. 29 (2020): July-December 2020; 41-62 Pensamiento y Acción; Núm. 29 (2020): Julio-Diciembre 2020; 41-62 2619-3353 0120-1190 spa https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/11741/9604 https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/11741/10039 Derechos de autor 2020 Julián-Camilo Serna-Vargas; Juan-José Camargo-Vega
spellingShingle altitud
datos abiertos
inteligencia de negocios
producción
altitude
business intelligence
open data
production
Serna-Vargas, Julián Camilo
Camargo-Vega, Juan José
Business Intelligence Applied to Corn Productivity
title Business Intelligence Applied to Corn Productivity
title_alt Inteligencia de negocios aplicada a la productividad del maíz
title_full Business Intelligence Applied to Corn Productivity
title_fullStr Business Intelligence Applied to Corn Productivity
title_full_unstemmed Business Intelligence Applied to Corn Productivity
title_short Business Intelligence Applied to Corn Productivity
title_sort business intelligence applied to corn productivity
topic altitud
datos abiertos
inteligencia de negocios
producción
altitude
business intelligence
open data
production
topic_facet altitud
datos abiertos
inteligencia de negocios
producción
altitude
business intelligence
open data
production
url https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/11741
work_keys_str_mv AT sernavargasjuliancamilo businessintelligenceappliedtocornproductivity
AT camargovegajuanjose businessintelligenceappliedtocornproductivity
AT sernavargasjuliancamilo inteligenciadenegociosaplicadaalaproductividaddelmaiz
AT camargovegajuanjose inteligenciadenegociosaplicadaalaproductividaddelmaiz