Speaker: Dr. Guoyu Lu (Assistant Professor at the School of Electrical and Computer Engineering, University of Georgia)
Dr. Guoyu Lu will present a webinar, "From Beneath to Above Ground: Advancing 3D Crop Structure Modeling Under Diverse Mobile Systems" on Friday, June 02, 2023, at 10:00 am ACST (UTC +9:30). See the conversion to other time zones using this time zone announcement.
Playback from our YouTube channel: https://www.youtube.com/channel/UCzSf5Tr84fD5_qN5V4lCsPw
UAV based modeling
Please Join through Zoom, the webinar is free and open to the public.
Zoom link: https://adelaide.zoom.us/j/86490697597?pwd=MmlmV2FCVHN0OTRraHljdktZNm01dz09&from=addon
Password: 649440
Zoom Meeting ID: 864 9069 7597
Password: 649440
Abstract.
Crop 3D structures and traits are crucial for understanding plant phenotyping and optimizing crop growth. However, constructing accurate 3D models for complex plant roots is challenging. To address this, we propose an unsupervised learning scheme using mobile phone images to build precise 3D root structure models. To avoid destructing roots, we also developed deep convolutional neural networks for GPR signal detection and graph neural networks for root shape reconstruction, enabling non-destructive root analysis. In addition to underground root reconstruction, our work leverages unmanned aerial systems (UAS) to provide a comprehensive view of crop growth. By deploying a cost-effective and precise 3D sensing system on UAS, we empower agricultural researchers, growers, and service providers to assess crop growth accurately and identify potential risks. Our approach utilizes specialized AI systems for large-scale, fine-scale 3D crop structure modeling. Furthermore, our methods extend beyond agriculture, as we demonstrate their applicability to other mobile robot applications such as autonomous driving and nighttime navigation. This showcases the versatility and potential impact of our 3D modeling techniques.
Presenter Biography
Dr. Guoyu Lu is an Assistant Professor at the School of Electrical and Computer Engineering, University of Georgia. He previously was an assistant professor at the Chester F. Carlson Center for Imaging Science of Rochester Institute of Technology (RIT). Prior to joining RIT, he was a research scientist on autonomous driving at Ford Research and computer vision engineer at Disney ESPN Advanced Technology Group. Dr. Lu finished his PhD Computer Science at the University of Delaware and MS degrees from the University of Trento and RWTH Aachen University. He was a visiting scholar at the Auckland University of Technology. He has been awarded US Department of Agriculture (USDA) New Investigator Award, Aharon Katzir Young Investigator Award from INNS, NSF CRI.