A data management research team, which includes University of Illinois researchers, is helping farmers leverage their existing precision technology to conduct on-farm trials and enhance their management, according to David Bullock, U of I agricultural and consumer economics professor.
Bullock, who spoke Thursday at U of I Agronomy Day, leads the Data Intensive Farm Management (DIFM) research team that generates and analyzes agronomic data to improve how the world fertilizes crops. DIFM is in the fourth year of a $4 million research project funded by the USDA National Institute of Food and Agriculture. -FarmWeekNow
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DIFM Principal Investigator David Bullock gave an invited presentation, titled “The Data-Intensive Farm Management Project: Using Precision Technology to Get the Information Needed to Use Precision Technology Profitably,” at the InfoAg Conference in St. Louis, on July 25. The InfoAg Conference bills itself as, “The Premier Event in Precision Agriculture,” and features seminars by agribusiness and academia, along with display booths by companies that have entered the digital agriculture industry. Approximately one hundred farmers, crop consultants, and professionals in the digital agriculture industry were in attendance. Agribusiness professionals from the U.S., Australia, and Ukraine approached Bullock after the presentation, expressing interest in learning more about collaborating with the DIFM project. His Power Point presentation can be found at:https://infoag.org/.
Pictured above is just a few of the exhibits in the Union Station. Over 1200 registrants attended the 2019 InfoAg conference, held July 23-25th. The InfoAg Conference has been a premier event since 1995.
Dr. David Bullock (University of Illinois) and Keith Curran (Washington State University) traveled to Philadelphia, Pennsylvania, to attend the Interest Group on Agricultural Data (IGAD) Meeting held on April 1.
“In 2019, DIFM will run approximately seventy trials in ten U.S. states, Argentina, Brazil, and Colombia. DIFM is developing software that will allow it to “scale up” its data management, processing, and analysis activities, and provide a farmer-consultant decision tool that will allow the practical implications of the data analysis to positively affect the efficiency of farmers’ input management decision. DIFM is interested in exploring possibilities of working with other groups to develop a cloud-based research cyber-infrastructure that will aid researchers worldwide who conduct run on-farm agronomic research.”
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.
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?”