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dc.contributor.authorCravero A.
dc.contributor.authorLagos D.
dc.contributor.authorEspinosa R.
dc.date.accessioned2020-09-02T22:15:34Z
dc.date.available2020-09-02T22:15:34Z
dc.date.issued2018
dc.identifier10.1109/TLA.2018.8408444
dc.identifier.citation16, 5, 1476-1484
dc.identifier.issn15480992
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4108
dc.descriptionThe use of IoT and Big Data technologies have allowed a large amount of data to be handled in a short time, generating relevant and timely information for decision making. Considering the above, this work gives an overview of how these technologies can help winemakers to effectively manage and optimize the wine production process in its different subprocesses, and also allows new researchers to know the components of the architectures used and their Scope over time, among other elements. For the above, the methodology used is systematic mapping. © 2003-2012 IEEE.
dc.language.isoes
dc.publisherIEEE Computer Society
dc.subjectBig Data
dc.subjectInternet of Things
dc.subjectIoT
dc.subjectSystematic Mapping
dc.subjectWine
dc.subjectBreweries
dc.subjectDecision making
dc.subjectInternet of things
dc.subjectMapping
dc.subjectWine
dc.subjectBig data technologies
dc.subjectLarge amounts
dc.subjectSystematic mapping
dc.subjectSystematic mapping studies
dc.subjectWine production
dc.subjectBig data
dc.titleBig data / IoT use in wine production: A systematic mapping study
dc.typeArticle


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