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dc.contributor.authorJedlička, Karel
dc.contributor.authorCharvát, Karel
dc.date.accessioned2019-03-26T09:11:17Z-
dc.date.available2019-03-26T09:11:17Z-
dc.date.issued2018
dc.identifier.citationJEDLIČKA, K., CHARVÁT, K. Visualisation of Big Data in Agriculture and Rural Development. In IST-Africa Paper Repository. Gaborone: IIMC International Information Management Corporation, 2018, 2018. s. 1-8. ISBN 978-1-905824-59-5.en
dc.identifier.isbn978-1-905824-59-5
dc.identifier.urihttp://hdl.handle.net/11025/33723
dc.format8 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIIMC International Information Management Corporation, 2018en
dc.relation.ispartofseriesIST-Africa Paper Repositoryen
dc.rightsPlný text není přístupný.cs
dc.rights© IIMC International Information Management Corporationen
dc.titleVisualisation of Big Data in Agriculture and Rural Developmenten
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedBig data technology is a new technological paradigm that is driving the entire economy, including low-tech industries such as agriculture where it is implemented under the banner of precision farming. Big data analytics system will then provide pilot managers with highly localized descriptive (better and more advanced way of looking at an operation), prescriptive (timely recommendations for operation improvement i.e., seed, fertilizer and other agricultural inputs application rates, soil analysis, and localized weather and disease/pest reports, based on real-time and historical data) and predictive plans (use current and historical data sets to forecast future localized events and returns). Presentation will be focused on two completely new domains of Big Data Visualisation and Analysis for Agricultureen
dc.subject.translatedVisualisationen
dc.subject.translatedBigen
dc.subject.translatedDataen
dc.subject.translatedAgricultureen
dc.subject.translatedGISen
dc.subject.translated3Den
dc.type.statusPeer-revieweden
dc.identifier.obd43924590
Appears in Collections:Konferenční příspěvky / Conference Papers (KGM)
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