Title: Visualisation of Big Data in Agriculture and Rural Development
Authors: Jedlička, Karel
Charvát, Karel
Citation: JEDLIČKA, 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.
Issue Date: 2018
Publisher: IIMC International Information Management Corporation, 2018
Document type: konferenční příspěvek
conferenceObject
URI: http://hdl.handle.net/11025/33723
ISBN: 978-1-905824-59-5
Keywords in different language: Visualisation;Big;Data;Agriculture;GIS;3D
Abstract: Big 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 Agriculture
Abstract in different language: Big 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 Agriculture
Rights: Plný text není přístupný.
© IIMC International Information Management Corporation
Appears in Collections:Konferenční příspěvky / Conference Papers (KGM)
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