Expert Insights on the Impacts of, and Potential for, Agricultural Big Data
Rim Lassoued,
Diego M. Macall,
Stuart J. Smyth,
Peter W. B. Phillips and
Hayley Hesseln
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Rim Lassoued: Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
Diego M. Macall: Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
Stuart J. Smyth: Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
Peter W. B. Phillips: The Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, Saskatoon, SK S7N 5B8, Canada
Hayley Hesseln: Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
Sustainability, 2021, vol. 13, issue 5, 1-18
Abstract:
Advanced digital technologies are rapidly permeating agriculture from laboratory to field. Machine-based breeding, robotics and big data technologies have deeply transformed not only production systems but also the way scientific research is conducted. How are digital applications revolutionizing people’s jobs and skills? What are the challenges and opportunities for managing and sharing agricultural big data? This article addresses these and other questions by surveying international experts in plant biotechnology. Results show that digital innovations in the form of decision-support tools are perceived as promising. Most surveyed experts anticipate the deployment of big data analytics and artificial intelligence to boost agricultural productivity. Another key finding is that substantial physical investment, specialized human capital and effective data governance are critical to successful implementation of technological innovations associated with big data.
Keywords: artificial intelligence; big data analytics; data sharing; food security; innovation; plant breeding (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)
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