Graduate Student, School of Engineering
Arthur’s project is a continuation of the work done by Dr. Kuo-Hsien (Michael) Chang and Dr. Eric Lyons on the Turf Canopy Scanner. The Turf Canopy Scanner (TCS) is made up of LiDAR sensors and will be integrated with machine learning to create predictions for fill-in and harvestability of sod. It will do this by detecting bare patches in the turf and tracking how the field changes over time by overlaying temporal data. In addition, comparisons of statistical models and machine learning techniques will be completed for the project, for the purpose of measuring each model’s accuracy in bare patch detection. Future for this project include attaching a variable rate spreader for bare patch remediation.
|ENGG*6500||Intro to Machine Learning|
|ENGG*4580||Sustainable Energy Systems Design|
|ENGG*6000||Advanced Heat & Mass Transfer|