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Big Data in Agriculture: A Challenge for the Future

Keith Coble (), Ashok Mishra (), Shannon Ferrell and Terry Griffin ()

Applied Economic Perspectives and Policy, 2018, vol. 40, issue 1, 79-96

Abstract: This article examines the challenge and opportunities of Big Data, and concludes that these technologies will lead to relevant analysis at every stage of the agricultural value chain. Big Data is defined by several characteristics beyond size, particularly, the volume, velocity, variety, and veracity of the data. We discuss a set of analytical techniques that are increasingly relevant to our profession as one addresses these issues. Ultimately, we resolve that agricultural and applied economists are uniquely positioned to contribute to the research and outreach agenda on Big Data. We believe there are relevant policy, farm management, supply chain, consumer demand, and sustainability issues where our profession can make major contributions. The authors are thankful to the anonymous reviewers and editor Craig Gundersen for helpful comments. Support was provided by the Mississippi Agricultural and Forestry Experiment Station Special Research Initiative.

Keywords: Big Data; precision agriculture; analytical methods (search for similar items in EconPapers)
Date: 2018
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Applied Economic Perspectives and Policy is currently edited by Timothy Park, Tomislav Vukina and Ian Sheldon

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