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Monday, December 9 • 3:00pm - 3:30pm
Get (a whole lot more than) what you pay for: Making the most of public data sources in agriculture

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The agricultural industry in the U.S. is fortunate to have a rich set of public datasets available for analysis. These datasets span multiple areas which are critical for timely and data-driven decision making in agribusiness; everything from crop yield, animal herds, farm operations, commodity pricing, soil surveys, and more. However, the challenge of incorporating these datasets into your organizations can be a daunting one. Domain experts may rely more heavily on their own experience than on data, investments into analysis of public data may not be forthcoming, or technical challenges may limit the value realized from the data. In this session, we will take a broad look at public data sources relevant to agriculture. Additionally, we will look at a real-world business example and data pipeline leveraging the USDA Census of Agriculture.

Speakers
avatar for Cort Lunke, MS

Cort Lunke, MS

Big Data Architect, Land O'Lakes, Inc.
Cort has spent seven years at Land O'Lakes, Inc in multiple roles including enterprise integration, big data architecture, and technology innovation. He is also an adjunct instructor in big data and AI at the University of St. Thomas.


Monday December 9, 2019 3:00pm - 3:30pm
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102

Attendees (175)