000163351 001__ 163351
000163351 005__ 20250206162503.0
000163351 0247_ $$aThe IFAMR (ISSN #: 1559-2448) is published quarterly. http://www.ifama.org.$$2Other
000163351 0247_ $$2doi$$a10.22004/ag.econ.163351
000163351 037__ $$a1030-2016-82967
000163351 037__ $$a1030-2016-83832
000163351 041__ $$aeng
000163351 084__ $$aQ16
000163351 245__ $$aBig Data and the Ag Sector: More than Lots of Numbers
000163351 260__ $$c2014-02-01
000163351 269__ $$a2014-02-01
000163351 270__ $$mssonka@illinois.edu$$pSonka,   Steve
000163351 271__ $$mifamr@ifama.org$$pIFAMR,   IFAMA
000163351 300__ $$a20
000163351 336__ $$aJournal Article
000163351 490__ $$aVolume 17
000163351 490__ $$aIssue 1
000163351 500__ $$aThe International Food and Agribusiness Management Review is the published by IFAMA. www.ifama.org
000163351 520__ $$aIt seems that one can’t go through a work day without seeing some mention of Big Data, its application and its potential to have unprecedented impact. The potential for Big Data application in the agricultural sector is examined. The role of analytics and the variety and velocity characteristics of Big Data as they can apply to the sector are stressed. Integration of data and analysis across business and government entities will be needed for successful implementation. The eventual impact of Big Data within the agricultural sector likely will require both organizational and technological innovation.
000163351 650__ $$aAgribusiness
000163351 650__ $$aProductivity Analysis
000163351 650__ $$aRisk and Uncertainty
000163351 6531_ $$aBig Data
000163351 6531_ $$aagricultural supply chain integration
000163351 6531_ $$ainformation and communication technology
000163351 700__ $$aSonka, Steve
000163351 720__ $$aIFAMR,   IFAMA$$eeditor
000163351 773__ $$q1$$o20$$tInternational Food and Agribusiness Management Review$$j17$$k01$$d2014
000163351 8564_ $$9166ab2b5-2a34-41e6-88e4-2e0f032ce7de$$s343713$$uhttps://ageconsearch.umn.edu/record/163351/files/20130114.pdf
000163351 887__ $$ahttp://purl.umn.edu/163351
000163351 909CO $$ooai:ageconsearch.umn.edu:163351$$pGLOBAL_SET
000163351 912__ $$nSubmitted by Kathryn White (ifamr@ifama.org) on 2014-02-05T01:21:56Z
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  Previous issue date: 2014-02-01
000163351 913__ $$aLicense granted by Kathryn White (ifamr@ifama.org) on 2014-02-05T01:11:35Z (GMT):

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000163351 980__ $$a1030
000163351 982__ $$gInternational Food and Agribusiness Management Review>Volume 17, Issue 1, 2014