InfoAg 2017 Presentation
Data Analyses

Grand BC
Wed, Jul 26, 2017
8:00 AM to 10:00 AM


In this session we will explore three unique methods that utilize data to drive crop production decisions behind the farm gate. These examples will range from developing a probability risk matrix using small plot research data, to developing prescription variable seeding rates in soybean using multiple on-farm replicated trials, to utilizing yield gap analysis from farmer supplied big data sets to drive grower decision making.

Shawn Conley
Professor of Agronomy and State Soybean and Small Grains Extension Specialist
University of Wisconsin, Madison
Madison, WI 53706
Dr. Shawn P. Conley is a Professor of Agronomy and the State Soybean and Small Grain Specialist at the University of Wisconsin, Madison. Dr. Conley’s research goal is to generate science based solutions to address real world problems in soybean and small grain production. This knowledge is then integrated and delivered through his Extension program. Dr. Conley has authored or co-authored 72 refereed journal articles and has spoken at >690 events and to >51,000 clients since beginning his academic career. Dr. Conley’s commitment to agriculture and the Wisconsin Idea has also led him to coauthor a children’s book entitled “Coolbean the Soybean”.