Tag Archives: graduate student

Trevisan Presents at ASA-CSSA-SSSA International Annual Meeting

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   The American Society of Agronomy, the Crop Science Society of America, and the Soil Science Society of America hosted the 2019 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.

View the presentation materials below:

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A Visit to the Field

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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. 

 

Faces at DIFM: Hoselton Graduates from ISU

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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!

Faces at DIFM: Mandrini Receives Outstanding MS Thesis Award

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Congratulations to DIFM’s German Mandrini, recipient of the Agricultural and Consumer Economics “Outstanding M.S. Thesis” 2018 award for his thesis titled, “Using Crop Simulation to Optimize Variable Rate Experimentation.” Mandrini studies under Dr. David Bullock.

Pictured above is German Mandrini receiving his award with Dr. Bullock at the Award Ceremony.

Recently Published Papers

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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.

Paula Girón named International Plant Nutrition Institute’s (IPNI) 31 Scholar Award recipient

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DIFM graduate researcher Paula Girón was named one of the International Plant Nutrition Institute’s (IPNI) 31 Scholar Award recipients. The IPNI awards graduate students in countries with an IPNI program in science programs relevant to plant nutrition science and the management of crop nutrients.

Paula Girón is working toward her M.Sc. in soil since at the University of Buenos Aires in Argentina. She is working on a thesis focusing on site-specific nitrogen management in maize in the northwestern Buenos Aires province. Girón was a visiting scholar with the DIFM project during fall semester of 2016.

New Faces At DIFM: Rodrigo Goncalves Trevisan

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Rodrigo Goncalves Trevisan is a new 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. Trevisan received a baccalaureate degree in agronomy from the Federal University of Mato Grosso, and his master’s degree in agricultural systems engineering from the Luis de Queiroz College of Agriculture at the University of Sao Pãulo. He is the precision agriculture coordinator in one of the largest agriculture companies in Brazil, and is co-founder and the head of research and development of technological solutions for agribusiness at Smart Agri. Trevisan has participated in events as speaker and organizer and is a founding member of the Brazilian Association of Precision Agriculture. He is experienced in agricultural planning, precision agriculture, on-farm experimentation, remote sensing, geographic information systems, data analysis, and artificial intelligence.