Big data / IoT use in wine production: A systematic mapping study

dc.contributor.author	Cravero A.
dc.contributor.author	Lagos D.
dc.contributor.author	Espinosa R.
dc.date.accessioned	2020-09-02T22:15:34Z
dc.date.available	2020-09-02T22:15:34Z
dc.date.issued	2018
dc.identifier	10.1109/TLA.2018.8408444
dc.identifier.citation	16, 5, 1476-1484
dc.identifier.issn	15480992
dc.identifier.uri	https://hdl.handle.net/20.500.12728/4108
dc.description	The 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.iso	es
dc.publisher	IEEE Computer Society
dc.subject	Big Data
dc.subject	Internet of Things
dc.subject	IoT
dc.subject	Systematic Mapping
dc.subject	Wine
dc.subject	Breweries
dc.subject	Decision making
dc.subject	Internet of things
dc.subject	Mapping
dc.subject	Wine
dc.subject	Big data technologies
dc.subject	Large amounts
dc.subject	Systematic mapping
dc.subject	Systematic mapping studies
dc.subject	Wine production
dc.subject	Big data
dc.title	Big data / IoT use in wine production: A systematic mapping study
dc.type	Article

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