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Three Digital Agriculture Problems in Cotton Solved by Distributed Ledger Technology

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  • Terry W. Griffin
  • Keith D. Harris
  • Jason K. Ward
  • Paul Goeringer
  • Jessica A. Richard

Abstract

Distributed ledger technology applied to Big Data in agriculture presents challenges and opportunities. Opportunities exist to solve decades‐old farm data management problems. Real‐world examples of applying distributed ledger technology to current farm data problems in cotton include (1) yield monitor data quality assurance, (2) sustainability metrics and resource tracking of cotton lint quality data from ginner back to subfield locations, and (3) increasing supply chain coordination by providing more information to warehouse managers. The culmination of the discussion across three aspects of cotton production data is of interest to farmers, researchers, policy makers, and consumers.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:apecpp:v:44:y:2022:i:1:p:237-252
    DOI: 10.1002/aepp.13142
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    References listed on IDEAS

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    1. 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.
    2. Jesse Leigh Maniff & W. Blake Marsh, 2017. "Banking on Distributed Ledger Technology: Can It Help Banks Address Financial Inclusion?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 53-77.
    3. Adam, Brian D. & Holcomb, Rodney & Buser, Michael & Mayfield, Blayne & Thomas, Johnson & O’Bryan, Corliss A. & Crandall, Philip & Knipe, Dar & Knipe, Richard & Ricke, Steven C., 2016. "Enhancing Food Safety, Product Quality, and Value-Added in Food Supply Chains Using Whole-Chain Traceability," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-24, June.
    4. Jean D. Kinsey, 2001. "The New Food Economy: Consumers, Farms, Pharms, and Science," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(5), pages 1113-1130.
    5. 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.
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    Cited by:

    1. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    2. Horst Treiblmaier, 2022. "What Is Coming across the Horizon and How Can We Handle It? Bitcoin Scenarios as a Starting Point for Rigorous and Relevant Research," Future Internet, MDPI, vol. 14(6), pages 1-15, May.
    3. Alba J. Collart & Elizabeth Canales, 2022. "How might broad adoption of blockchain‐based traceability impact the U.S. fresh produce supply chain?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 219-236, March.

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