Bringing AI to the Field: Robotics and Sensing in Agricultural Applications
The robotic technologies of mobility, sensing, analysis, and manipulation have the potential to alleviate looming problems with the global food supply. In this talk, I will present some recent work my group has done to address these problems, including the development vehicles that can autonomously navigate agricultural environments, and the use of imaging, modeling, and deep learning to measure agricultural parameters in the field. I will also discuss how we have combined the resulting tools for applications to problems such as phenotyping for plant breeding and yield prediction for production.
- AI and robotics combine for unprecedented ag data collection (scale and accuracy)
- Resulting data can be used for more efficient management practices
- Data and analytics have the potential to improve plant breeding programs
George Kantor is a Senior Systems Scientist at Carnegie Mellon University’s Robotics Institute. He has 20 years of experience research in developing and deploying robotic technologies for real-world applications such as agriculture, mining, and scientific exploration. He also is dedicated to K-12 STEM educational outreach activities. Kantor hold B.S. in Electrical Engineering from Michigan State University, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland College Park.