NSF BDSPOKES - Digital Agriculture: Unmanned Aerial Systems, Plant Sciences and Education

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Digital Ag Fact

The projected growth in the global population will be 9.5 billion people by 2050, which will require the global agricultural workforce to produce 70% more food than our farmers do today. [UN - FAO Report]


Agricultural Data Integration: From Genomics to Unmanned Systems

Location: University of Minnesota
Dates: 2017-10-26 TO 2017-10-26
Register: Click for Registration Info

The University of North Dakota’s Office of the Vice President for Research, Computational Research Center, University of Minnesota’s Supercomputing Institute (MSI), and the Institute for Mathematics and its Applications (IMA) are partnering with the Midwest Big Data Hub (MBDH) to bring together experts from different disciplines on challenges and potential solutions to integrating agricultural data sets.

New methods for sequencing crop genomes, the availability of real-time market data, and an abundance of data streams from remote sensors to unmanned systems have shifted the challenge away from questions concerning how to get data, to questions concerning what to do with it. Agroinformatics researchers today frequently lack the tools and the infrastructure to realize the full potential of these new data sets.

This event aims to build on and complement other MBDH events by focusing on the hub’s cross-cutting priorities, such as data integration and analysis methods and cyberinfrastructure needed to host, secure, and share agricultural data sets. Participants will have the opportunity to participate in a one-day meeting with talks by domain experts and an optional one-day, hands-on “data carpentry workshop” on Friday, October 27.