Screaming Plants
Conference Year
January 2022
Abstract
Research has shown that plants will emit volatile organic compounds (VOCs) in response to a number of stimuli. In particular, the response to wounding of the plant is of interest. Our research, in partnership with the Cold Region Research and Engineering Laboratory, focused on using machine learning techniques to predict whether a plant has been wounded given the VOCs emitted by that plant. Our machine learning models have shown an ability to predict, to an extent, whether a plant is wounded given the VOCs emitted. Ideally, in the future, our research would be used to measure plant health and stress.
Primary Faculty Mentor Name
Christian Skalka
Student Collaborators
Jaden Varin, Zachary Fogg
Status
Undergraduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Computer Science
Primary Research Category
Biological Sciences
Screaming Plants
Research has shown that plants will emit volatile organic compounds (VOCs) in response to a number of stimuli. In particular, the response to wounding of the plant is of interest. Our research, in partnership with the Cold Region Research and Engineering Laboratory, focused on using machine learning techniques to predict whether a plant has been wounded given the VOCs emitted by that plant. Our machine learning models have shown an ability to predict, to an extent, whether a plant is wounded given the VOCs emitted. Ideally, in the future, our research would be used to measure plant health and stress.