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Big Data in Agriculture: Property Rights, Privacy and Competition in Ag Data Services

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  • Sykuta, Michael E.

Abstract

The transition from precision agriculture to big data opens a variety of concerns among both farmers and ag data service providers about the privacy, ownership and use of farm data. This paper discusses the nature of those concerns as well as an attempt to establish industry guidelines concerning data privacy and security. I argue that the proposed guidelines likely do little to protect any real privacy concerns and run the risk of negative consequences for competition in ag data services and of reducing valuable information flows in commodity markets.

Suggested Citation

  • Sykuta, Michael E., 2016. "Big Data in Agriculture: Property Rights, Privacy and Competition in Ag Data Services," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-18, June.
    • Handle: RePEc:ags:ifaamr:240696
    DOI: 10.22004/ag.econ.240696
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    Cited by:

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    2. Lina Novickyté, 2019. "Risk in agriculture: An overview of the theoretical insights and recent development trends during last decade - A review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(9), pages 435-444.
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    4. Kenney, Martin & Serhan, Hiam & Trystram, Gilles, 2020. "Digitalization and Platforms in Agriculture: Organizations, Power Asymmetry, and Collective Action Solutions," ETLA Working Papers 78, The Research Institute of the Finnish Economy.
    5. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).
    6. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    7. Paul B. Hegedus & Bruce Maxwell & John Sheppard & Sasha Loewen & Hannah Duff & Giorgio Morales-Luna & Amy Peerlinck, 2023. "Towards a Low-Cost Comprehensive Process for On-Farm Precision Experimentation and Analysis," Agriculture, MDPI, vol. 13(3), pages 1-20, February.
    8. Alexandros Zervopoulos & Athanasios Tsipis & Aikaterini Georgia Alvanou & Konstantinos Bezas & Asterios Papamichail & Spiridon Vergis & Andreana Stylidou & Georgios Tsoumanis & Vasileios Komianos & Ge, 2020. "Wireless Sensor Network Synchronization for Precision Agriculture Applications," Agriculture, MDPI, vol. 10(3), pages 1-20, March.
    9. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.

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