Illinois Autonomous Farms
This science team will drive research, education, and outreach for autonomous systems in agriculture.
This science team will drive research, education, and outreach for autonomous systems in agriculture.
The ultimate goal is to improve Illinois farmers’ productivity, sustainability and profitability. We will advance AI in three areas:
girishc@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering
guha@uchicago.edu
University of Chicago: Professor, Pritzker School of Molecular Engineering
vadve@illinois.edu
University of Illinois at Urbana-Champaign: Professor, Computer Science
ahuja@illinois.edu
University of Illinois at Urbana-Champaign: Research Professor, Electrical and Computer Engineering
krdc@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering
salah01@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Agricultural and Biological Engineering
saurabhg@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering
kkhauser@illinois.edu
University of Illinois at Urbana-Champaign: Associate Professor, Computer Science
gkrishna@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Industrial & Enterprise Systems Engineering
matamala@anl.gov
Argonne National Laboratory: Terrestrial Ecologist, Environmental Science
EarthSense, co-founded by project PI Girish Chowdhary, enables the creation of highly productive, resilient, and sustainable crops, and fundamental improvements in farm profitability. DPI supports the work of EarthSense in order to advance economic development in Illinois.
The TerraSentia field phenotyping system provides 100 times as much trait data for 1/10th the effort, compared to current methods of field data collection.
The compact, easy-to-use, under-canopy robot enables you measure critical plant traits like stem-width, leaf area index, leaf and stem diseases, etc. – with unprecedented accuracy and ease.
Farming and agricultural product development is getting riskier every year. Our machine vision and machine learning based analytics seamlessly convert terabytes of multi-sensor field data to quantitative, consistent, and objective information to reduce these risks.
On a lush, green patch of rolling farmland in Australia’s Queensland, cows are quietly grazing in a scene that is replicated around the world.
A closer inspection, however, would reveal that these particular bovines are a bit more high-tech than normal.
Behind one ear, each carries a device roughly the size of a matchbox – a tamper-proof, solar-powered, satellite-connected smart “tag” that is constantly transmitting real-time data back to the farmer…
A new generation of autonomous robots is helping plant breeders shape the crops of tomorrow.
In a research field off Highway 54 last autumn, corn stalks shimmered in rows 40-feet deep. Girish Chowdhary, an agricultural engineer at the University of Illinois at Urbana-Champaign, bent to place a small white robot at the edge of a row marked 103. The robot, named TerraSentia, resembled a souped up version of a lawn mower, with all-terrain wheels and a high-resolution camera on each side…
CSL’s Girish Chowdhary has spent years developing robotic technology to improve on traditional farming practices. He is now leading an effort to improve farming practices even more by making it autonomous through artificial intelligence.
In mid-August it was announced that the University of Illinois Urbana-Champaign was going to be the home to two new artificial intelligence institutes…