@article {551,
	title = {Towards a contextual model for data quality in precision agriculture},
	journal = { Revista Ingenier{\'\i}as Universidad de Medell{\'\i}n},
	volume = {15},
	year = {2016},
	chapter = {99-112},
	abstract = {<p class="rtejustify"><span style="font-family: verdana, arial; font-size: 12.7962px; text-align: start;">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.</span></p>
},
	keywords = {data quality control; precision agriculture; metadata; data acquisition systems; contextual model},
	issn = {1692-3324},
	doi = {http://dx.doi.org/10.22395/rium.v15n29a6},
	url = {http://www.scielo.org.co/scielo.php?script=sci_arttext\&pid=S1692-33242016000200099},
	author = {Vivas, F. Y. and Corrales, J. C. and Ram{\'\i}rez-Gonz{\'a}lez, G.}
}
