AINSWORTH AND GUAN RANK AMONG WORLD’S MOST INFLUENTIAL
Nine researchers at the University of Illinois Urbana-Champaign have been named to the 2022 Clarivate Analytics Highly Cited Researchers list. The list recognizes research scientists and social scientists who have demonstrated exceptional influence – reflected through their publication of multiple papers frequently cited by their peers during the last decade. This year’s list includes 6,938 […]
IMPROVING THE WORLD THROUGH AGRICULTURE
This summer, the Center for Digital Agriculture, AIFARMS, and CROPPS co-hosted the eight-week (June 13 – August 5, 2022) on-site REU summer program. The program pairs promising students with mentors and puts them on projects on the leading edge of technology. The students not only get valuable experience on real-world projects solving real-world problems but they also get paid while […]
AIFARMS Team Members Featured In WIRED
CDA Affiliates and AIFARMS Thrust 1 lead, Dr. Girish Chowdhary of Agricultural and Biological Engineering, and Thrust 5 lead, Dr. Madhu Khanna of Agriculture and Consumer Economics, were featured in WIRED for the work they are doing in Precision Agriculture’ with technologies and farm adoption. Read more here.
Khanna presents at DIGICROP2022
Madhu Khanna, AIFARMS Thrust 5 lead, is presenting at the DIGICROP2022 Conference hosted by PhenoRob. Her talk is titled “Economic Incentives for Robotic Weed Control in Row Crop Agriculture” and will be held during the Adoption Methods & Incentives for Farmers session on March 29th, 2022 from 11 – 12 CST (Program for the Live […]
Basso Named AAAS Fellow
AIFARMS Thrust 3 team member, Dr. Bruno Basso from Michigan State University was awarded the distinction of Fellow by the American Association for the Advancement of Sciences, or AAAS, this year. This honor recognizes AAAS members for extraordinary achievements in advancing science. Read more here.
ANDREW LEAKEY AND ALEX LIPKA IN THE NEWS!
Check out the newest edition of the Illinois News Bureau in Research News. Andrew and Alex’s new paper “Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping” (DOI: 10.1093/plphys/kiab299) is featured in an article entitled, “New imaging, machine-learning methods speed effort to reduce crops’ need for water”.