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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.

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The year 2020 presented a new potential risk of which many business owners, including agricultural operators, were unaware: a global pandemic related to the SARS-CoV-2 virus, also known as COVID-19. Starting in March 2020, the United States worked to contain this virus, while businesses sought to protect their workers (who had to continue working to work) as well as their customers. At the same time, a number of businesses had concerns about how to limit liability from customers arguing later that the business had spread the virus. This Article explores the potential liability agricultural operations face and ways to manage the risks associated with COVID-19. Part II looks at what the virus is. Part III explores potential liability, and Part IV details potential methods to manage and limit that liability. Part V concludes.