Three Digital Agriculture Problems in Cotton Solved by Distributed Ledger Technology

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 moni...

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Bibliographic Details
Published in:Applied economic perspectives and policy 2022-03, Vol.44 (1), p.237-252
Main Authors: Griffin, Terry W., Harris, Keith D., Ward, Jason K., Goeringer, Paul, Richard, Jessica A.
Format: Article
Language:English
Subjects:
Agriculture
Big Data
blockchain
Cotton
Data management
Digital agriculture
Distributed ledger
distributed ledger technology (DLT)
Farms
Information management
Quality assurance
Supply chains
traceability
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Summary: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.
ISSN:2040-5790
2040-5804
DOI:10.1002/aepp.13142