Aproximación a un modelo contextual para calidad de datos en agricultura de precisión

Precision agriculture is a farming management concept, based on the crop variability in the field; it comprises several stages: data collection, information processing and decision-making. After an extensive review of the literature, it appears that data quality control is an important process in pr...

Full description

Autores:
Vivas Cantero, Fulvio Yesid
Corrales, Juan Carlos
Ramirez Gonzalez, Gustavo Adolfo
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/3530
Acceso en línea:
http://hdl.handle.net/11407/3530
Palabra clave:
Data quality control
Precision agriculture
Metadata
data acquisition systems
Contextual model
Control de calidad de los datos
Agricultura de precisión
metadatos
Sistemas de adquisición de datos
Modelo contextual
Rights
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Precision agriculture is a farming management concept, based on the crop variability in the field; it comprises several stages: data collection, information processing and decision-making. After an extensive review of the literature, it appears that data quality control is an important process in precision agriculture and can be considered in the data collection process. This paper makes an approach to data architecture quality control by applying the contextual information of the acquisition system (sad) and environment context information. This approach can provide the sad the capability to understand the situations of their environment in order to improve the quality of data for decision-making.