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Big Data Privacy in Smart Farming: A Review

Author

Listed:
  • Mohammad Amiri-Zarandi

    (Data Management and Privacy Governance Lab, School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Rozita A. Dara

    (Data Management and Privacy Governance Lab, School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Emily Duncan

    (Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Evan D. G. Fraser

    (Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, Canada)

Abstract

Smart farming aims to improve farming using modern technologies and smart devices. Smart devices help farmers to collect and analyze data regarding different aspects of their business. These data are utilized by various stakeholders, including farmers, technology providers, supply chain investigators, and agricultural service providers. These data sources can be considered big data due to their volume, velocity, and variety. The wide use of data collection and communication technologies has increased concerns about the privacy of farmers and their data. Although some previous studies have reviewed the security aspects of smart farming, the privacy challenges and solutions are not sufficiently explored in the literature. In this paper, we present a holistic review of big data privacy in smart farming. The paper utilizes a data lifecycle schema and describes privacy concerns and requirements in smart farming in each of the phases of this data lifecycle. Moreover, it provides a comprehensive review of the existing solutions and the state-of-the-art technologies that can enhance data privacy in smart farming.

Suggested Citation

  • Mohammad Amiri-Zarandi & Rozita A. Dara & Emily Duncan & Evan D. G. Fraser, 2022. "Big Data Privacy in Smart Farming: A Review," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9120-:d:871261
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    References listed on IDEAS

    as
    1. Keith H Coble & Ashok K Mishra & Shannon Ferrell & Terry Griffin, 2018. "Big Data in Agriculture: A Challenge for the Future," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 79-96.
    2. Raymond Hubbard & Brian D. Haig & Rahul A. Parsa, 2019. "The Limited Role of Formal Statistical Inference in Scientific Inference," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 91-98, March.
    3. Mohammad Amiri-Zarandi & Mehdi Hazrati Fard & Samira Yousefinaghani & Mitra Kaviani & Rozita Dara, 2022. "A Platform Approach to Smart Farm Information Processing," Agriculture, MDPI, vol. 12(6), pages 1-18, June.
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