Back To Schedule
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

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
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.

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 CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102