Yield Data Received from 2018 Trials

Yield data was received from fields in: Illinois (11), Ohio (2), Kansas (2), New York (1) Nebraska (4), Montana (6), Louisiana (1), Brazil (2), and Argentina (17) for 2018.

Our team is currently designing 2019 field trials. 

Interested in our work? Feel free to contact us at anytime.

Recently Published Papers

Rodrigo Goncalves Trevisan is a graduate student in Crop Sciences, under Professor Nicolas Martin, who is focused on harnessing the power of new analytical methods to improve the decision-making process in agricultural systems. Check out Rodrigo’s two published papers: Improving Yield Mapping Accuracy Using Remote Sensing and Site-Specific Treatment Responses in On-Farm Precision Experimentation.

Development of a new method for cotton yield monitoring: Think big or go home!

Check out this story from Dr. Tony Grift regarding Brendan Kuhns, a graduate student working with the DIFM Project:

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New Faces at DIFM

Joshua Babes is an undergraduate at UIUC studying Agricultural and Consumer Economics who is volunteering to work with the Data-Intensive Farm Management project. Joshua comes from the north side of Chicago and is working towards a career in consulting doing data analytics. He hopes to begin to learn more about the analytics while contributing to DIFM. 

DIFM at the 14th International Conference on Precision Agriculture

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Laila Puntel, of Iowa State University, and Brittani Edge and Aolin Gong, of the University of Illinois, presented at the 14th International Conference on Precision Agriculture in Montreal. Puntel stated, “It was great to see such a big community from all over the world…people from Australia, Germany, Belgium, South America, Canada, and US.”

In order to collaborate internationally, scientists from Curtin University in Australia organized a consortium for on-farm experimentation, to which Puntel was invited. This partnership will allow the DIFM project to be connected with OFE in different countries.


Montana State University- and University of Montana-based researchers affiliated with DIFM also shared their research: Amy Peerlinck, John Sheppard, and Bruce Maxwell gave a presentation titled “Using Deep Learning in Yield and Protein Prediction of Winter Wheat Based on Fertilization Prescriptions in Precision Agriculture,” and Bruce Maxwell, Paul Hegedus, Anton Bekkerman, Robert Payn, John Sheppard, Nicholas Silverman, and Clemente Izurieta gave a presentation titled, “Can Optimization Associated with On-Farm Experimentation Using On-Farm Experimentation Using Site-Specific Technologies Improve Producer Management Decisions?”