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The Role of Wireless Broadband Connectivity on ‘Big Data’ and the Agricultural Industry in the United States and Australia

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  • Mark, Tyler B.
  • Griffin, Terry W.
  • Whitacre, Brian E.

Abstract

Big 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.

Suggested Citation

  • Mark, Tyler B. & Griffin, Terry W. & Whitacre, Brian E., 2016. "The Role of Wireless Broadband Connectivity on ‘Big Data’ and the Agricultural Industry in the United States and Australia," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-14, June.
  • Handle: RePEc:ags:ifaamr:240695
    DOI: 10.22004/ag.econ.240695
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    References listed on IDEAS

    as
    1. Sonka, Steve, 2014. "Big Data and the Ag Sector: More than Lots of Numbers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(1), pages 1-20, February.
    2. Griffin, Terry W. & Mark, Tyler B. & Ferrell, Shannon & Janzen, Todd & Ibendahl, Gregory & Bennett, Jeff D. & Maurer, Jacob L. & Shanoyan, Aleksan, 2016. "Big Data Considerations for Rural Property Professionals," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2016.
    3. Whitacre, Brian E. & Mark, Tyler B. & Griffin, Terry W., 2014. "How Connected Are Our Farms?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 29(3), pages 1-9.
    4. Griffin, Terry W. & Mark, Tyler B. & Ferrell, Shannon & Janzen, Todd & Ibendahl, Gregory & Bennett, Jeff D. & Maurer, Jacob L. & Shanoyan, Aleksan, 2016. "Big Data Considerations for Rural Property Professionals," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2015, pages 1-14.
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    Cited by:

    1. Shockley, Jordan M. & Dvorak, Joseph & Mason, Ricky & McNeill, Samuel, 2018. "The Process and Lessons Learned from Developing a Farm Management Mobile App - A Case Study of Grain Transportation," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2018.
    2. Zheng Cai & Shengsheng Li & Di Cheng, 2023. "Has Digital Village Construction Improved Rural Family Resilience in China? Evidence Based on China Household Finance Survey," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    3. Terry W. Griffin & Keith D. Harris & Jason K. Ward & Paul Goeringer & Jessica A. Richard, 2022. "Three Digital Agriculture Problems in Cotton Solved by Distributed Ledger Technology," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 237-252, March.
    4. Jonathan R. McFadden & Alicia Rosburg & Eric Njuki, 2022. "Information inputs and technical efficiency in midwest corn production: evidence from farmers' use of yield and soil maps," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 589-612, March.

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