Breaking Phenotype Bottleneck With Autonomous Robots

ACES

Determining, analyzing, or predicting how crops will grow in the field takes time and labor. The interactions between genetics, environment and agricultural practices are challenging to measure. The newly published results of a five-year study on maize (or corn) demonstrate that autonomous ground robots can accurately and reliably capture this information.

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The multi-year project is an example of how the Illinois tradition of cross-disciplinary research, combined with that of startups and enterprises based at the Research Park on campus, can produce results with a global impact.

The study is co-authored by Girish Chowdhary, a computer science and agricultural & biological engineering professor, with collaborators from the Department of Crop Sciences and industry partners.

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