Data Quality In Agriculture Applications

dc.creatorMalaverri J.E.G.
dc.creatorMedeiros C.B.
dc.date2012
dc.date2015-06-25T20:25:07Z
dc.date2015-11-26T15:21:06Z
dc.date2015-06-25T20:25:07Z
dc.date2015-11-26T15:21:06Z
dc.date.accessioned2018-03-28T22:30:37Z
dc.date.available2018-03-28T22:30:37Z
dc.identifier
dc.identifierProceedings Of The Brazilian Symposium On Geoinformatics. , v. , n. , p. 128 - 139, 2012.
dc.identifier21794847
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84883001411&partnerID=40&md5=f35742df0d6fe7b9942fa782b660d040
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90387
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90387
dc.identifier2-s2.0-84883001411
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260144
dc.descriptionData quality is a common concern in a wide range of domains. Since agriculture plays an important role in the Brazilian economy, it is crucial that the data be useful and with a proper level of quality for the decision making process, planning activities, among others. Nevertheless, this requirement is not often taken into account when different systems and databases are modeled. This work presents a review about data quality issues covering some efforts in agriculture and geospatial science to tackle these issues. The goal is to help researchers and practitioners to design better applications. In particular, we focus on the different dimensions of quality and the approaches that are used to measure them.
dc.description
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dc.description128
dc.description139
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dc.languageen
dc.publisher
dc.relationProceedings of the Brazilian Symposium on GeoInformatics
dc.rightsfechado
dc.sourceScopus
dc.titleData Quality In Agriculture Applications
dc.typeActas de congresos


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