000240695 001__ 240695
000240695 005__ 20250401105735.0
000240695 0247_ $$a(ISSN #: 1559-2448)$$2Other
000240695 0247_ $$2doi$$a10.22004/ag.econ.240695
000240695 037__ $$a1030-2016-83150
000240695 037__ $$a1030-2016-83246
000240695 041__ $$aeng
000240695 084__ $$aQ10
000240695 245__ $$aThe Role of Wireless Broadband Connectivity on ‘Big Data’  and the Agricultural Industry in the United States and Australia
000240695 260__ $$c2016-06-15
000240695 269__ $$a2016-06-15
000240695 270__ $$mTyler.Mark@uky.edu$$pMark,   Tyler B.
000240695 270__ $$mtwgriffin@ksu.edu$$pGriffin,   Terry W.
000240695 270__ $$mbrian.whitacre@okstate.edu$$pWhitacre,   Brian E.
000240695 271__ $$mifamr@ifama.org$$pIFAMR,   IFAMA
000240695 300__ $$a14
000240695 336__ $$aJournal Article
000240695 490__ $$aVolume 19
000240695 490__ $$aIssue A
000240695 500__ $$aThe IFAMR is published quarterly my IFAMA. For more information visit: www.ifama.org.
000240695 520__ $$aBig Data has the potential to change the fabric of agriculture as we know it today; but only with wireless connectivity sufficient to employ telematics and other precision agricultural technologies. The primary focus of this paper is on data transfer, specifically as an enabling technology to precision agriculture. Limited wireless internet connectivity impedes the full utilization and effectiveness of precision agricultural practices and subsequent agricultural big data system. These failures lead to potential differentiation of farmland values; those fields with adequate wireless connectivity commanding a premium. In the absence of wireless data transfer for download and upload, precision agriculture technologies such as telematics cannot be utilized efficiently. Improving wireless connectivity is a primary driver of the adoption of big data. Increased connectivity could also intensify the adoption of precision agricultural technologies leading to input cost savings and decreased input usage.
000240695 650__ $$aAgribusiness
000240695 650__ $$aLand Economics/Use
000240695 650__ $$aProduction Economics
000240695 650__ $$aProductivity Analysis
000240695 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000240695 650__ $$aResearch Methods/Statistical Methods
000240695 6531_ $$abigdata
000240695 6531_ $$awireless
000240695 6531_ $$ainternet
000240695 6531_ $$arural broadband
000240695 6531_ $$atelematics
000240695 6531_ $$aprecision
000240695 6531_ $$aconnectivity
000240695 700__ $$aMark, Tyler B.
000240695 700__ $$aGriffin, Terry W.
000240695 700__ $$aWhitacre, Brian E.
000240695 720__ $$aIFAMR,   IFAMA$$eeditor
000240695 773__ $$q43$$o56$$tInternational Food and Agribusiness Management Review$$j19$$kA$$d2016
000240695 8564_ $$99c1aed7a-04b2-4323-8e1b-ddc5e63f8d5a$$s1137957$$uhttps://ageconsearch.umn.edu/record/240695/files/220150113.pdf
000240695 887__ $$ahttp://purl.umn.edu/240695
000240695 909CO $$ooai:ageconsearch.umn.edu:240695$$pGLOBAL_SET
000240695 912__ $$nSubmitted by Kathryn White (ifamr@ifama.org) on 2016-07-01T17:03:38Z
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  Previous issue date: 2016-06-15
000240695 913__ $$aLicense granted by Kathryn White (ifamr@ifama.org) on 2016-07-01T16:46:36Z (GMT):

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000240695 980__ $$a1030
000240695 982__ $$gInternational Food and Agribusiness Management Review>Volume 19, Issue A, 2016