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Developing Issues in Agriculture: Economic Issues Related to Big Data in Agriculture

            Big data has become a buzzword in agriculture. Big data is seen to have a role in potentially increasing food production and working to make agriculture more environmentally sustainable. As more and more opportunities develop that allow farmers to utilize data being developed in their operations, issues also arise.  Although the full impact of this new data revolution in agriculture has not yet been met, many questions exist. Security issues, ownership issues, and economic impacts are some of the unresolved questions. On March 3rd at 12pm EST, the University of Maryland, Kansas State University, Oklahoma State University, and Texas A&M University will host a webinar Developing Issues in Agriculture: Economic Issues Related to Big Data in Agriculture. This webinar will be the first in a series of two webinars focused on big data, a later webinar will focus on developing legal issues related to big data.

            Speaker will be Dr. Terry Griffin, an Assistant Professor in the Department of Agricultural Economics at Kansas State University where his research and extension programs focus on cropping systems and precision agriculture. Dr. Griffin will focus on the economic impact of big data on agriculture.

            Register for the webinar at http://go.umd.edu/BigDataWebinar1. The webinar is free to attend and will be recorded for those unable to attend.

            The webinar is sponsored by the Department of Agricultural and Resource Economics, the Agriculture Law Education Initiative, Texas AgriLife Extension Service, Oklahoma State University Department of Agricultural Economics, and Kansas State University Department of Agricultural Economics.

            This joint Extension webinar is open to all and will not discriminate against anyone because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry, or national origin, marital status, genetic information, political affiliation, or gender identity and expression.

http://go.umd.edu/AgDataVid

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