Skip To Content
Developing SmartSense is a Course

Developing SmartSense

Ended Nov 1, 2019
1 credit

Enrollment is closed
Add yourself to the wait list and you'll be auto enrolled when a spot opens

Add to Wait List

Full course description

Term: Fall 2019
Date: November 1st, 2019
Time: 8:30am-9:30am
Location: Moss Arts Center, Room 253
Instructors: Phyllis Newbill, Holly Williams
Presented By: Institute for Creativity, Arts, and Technology

In this work, we have developed techniques to measure crop heights using SmartSense, a plant phenotyping platform consisted of a 3D LiDAR, a stereo vision camera and an on-board computing device mounted on an Unmanned Aerial Vehicle (UAV). Knowing the height of plants is crucial to monitor their overall health and growth cycles, especially for high-throughput plant phenotyping. We present a methodology for extracting plant heights from 3D LiDAR point clouds on row crops including soybean and wheat. The key steps in our algorithm are clustering of LiDAR points to semi-automatically detect plots, local ground plane estimation, and height estimation. The plot detection uses a k–means clustering algorithm followed by a voting scheme to find the bounding boxes of individual plots. We conducted a series of experiments in controlled and natural settings. Our algorithm was able to estimate the plant heights in a field with 112 plots within ±5.36%. This is the first such dataset for 3D LiDAR from an airborne robot over a wheat field. The developed code can be found on the GitHub repository located at
Speaker: Song Li

ICAT Playdates are Friday morning gatherings to explore creativity and innovation at the nexus of science, engineering, arts, and design. We have doughnuts and coffee with networking for the first 20 minutes, followed by a presentation and question/answer period. Meet faculty, students, and the community. See for more info about specific sessio