The Data-Intensive Farm Management Project was featured in the recent February edition of The Furrow.
Precision ag technology is spurring a dramatic change in agricultural research. It’s replacing the time-consuming test plot techniques of the past – the marking flags, tape measures, weigh wagons, and grad students – with today’s automated computer files, variable-rate controllers, and yield monitors. These new tools are empowering growers to easily and economically generate data that makes on-farm research a reality.
“This new approach is a real game-changer,” says David Bullock, agricultural economist at the University of Illinois. “The future could see farmers conducting experiments on their fields as routinely as they now take soil samples. The result will be management recommendations based on field data, rather than a ‘rule of thumb’ recommendation.”
My name is Emanuel Hernández Cornejo and I am from Panama, located in Central America. I started my education at 5 years old at a school close to my neighborhood because my parents wanted to give me the education they never had. At the beginning of my studies, I was not a dedicated person because I did not know what I wanted to do. However, after some advice and time, I understood that the best way to reach my goal is through further education. Years later with a few months left in high school in Panama, after I had focused on one path, I won a scholarship under the branch of agriculture from a university in Honduras. Thanks to this aid, I was not only able to continue my education, but also experience a new culture and new people. It was there that I learned new knowledge about the earth, animals, and the importance behind all of these things. More specifically, it taught me how the world is advancing technologically which will lead to great changes in humanity.
The American Society of Agronomy, the Crop Science Society of America, and the Soil Science Society of America hosted the2019 International Annual Meeting, “Embracing the Digital Environment,” on November 10-13, 2019, in San Antonio, Texas.
Rodrigo Trevisan, graduate student in Crop Sciences, gave two presentations titled, Understanding the Spatial Variability of Optimum Nitrogen Rates Using Remote Sensing and on-Farm Precision Experimentation and Using Deep Learning to Predict Optimum Crop Management Decisions.
It was a chilly harvest day in Illinois, but that didn’t phase University of Illinois Ph.D. student, Aolin Gong. Gong visited one of the DIFM fields to gain some firsthand experience of what harvest is like behind the scenes.
Pictured above is graduate student, Aolin Gong, standing in front of the CASE IH combine. Pictures taken by DIFM Coordinator, Carli Miller.
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
Click here to read the full article by FarmWeekNow.
George Hoselton has been working with Data-Intensive Farm Management, under Dr. Maria Boerngen (Illinois State University), on his master’s thesis project since August of 2018. His research focused on understanding how farmers perceive nutrient loss.
Hoselton successfully defended his thesis, “Illinois Corn Farmers Concerns About Nutrient Loss and the Adoption of Best Management Practices” and graduated from Illinois State University with his Masters Degree this past weekend.
Congratulations, George! Thank you for the work you have contributed to DIFM!
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.”