Agricultural Economics Seminar Filley-Garey Seminar

Date: Time: 3:00 pm–4:30 pm
Nebraska East Union
Additional Info: NEU
Contact: Kara Heideman, 402-472-2757,
“Data, Economics and Computational Agricultural Science” presented by John Angle, Oregon State University.

A 2017 special issue of Agricultural Systems on “Next Generation Data, Models and Knowledge Products” presented a vision for accelerating the rate of agricultural innovation and meeting the growing global need for food and fiber. The authors envisage computational agricultural research and development that could complement, and increasingly substitute for, conventional experimental methods. They argue that significantly improved data and models could contribute to development of advanced farm-management systems that could accelerate the adoption and efficient use of more productive and more sustainable technologies. Various ongoing efforts by public sector organizations such as USDA and private firms such as Microsoft are working to develop and implement new technologies consistent with this vision, including new sensors, “big data,” and artificial intelligence. In this lecture I propose that economics has an important role to play in these developments. I draw parallels between advances in artificial intelligence and machine learning and recent developments in microeconometrics, and implications for the potential and challenges of “smart farming” systems and their role in generating data for computational science.

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