Computer Vision Techniques to Extract Data from Images of Plants
Department
Civil, Architectural and Environmental Engineering
Major
Computer Science
Research Advisor
Burken, Joel G. (Joel Gerard)
Advisor's Department
Civil, Architectural and Environmental Engineering
Funding Source
National Science Foundation (NSF)
Abstract
PlantCV is a collection of code, or a library, that enables scientists to manipulate image data in order to filter out and select for desired values. By writing Python scripts using PlantCV, it is possible to automate the process of finding the shape of plants in images, and then extract valuable information, such as leaf area, from those images. In this way, it can be determined whether plants are growing at an expected rate in order to facilitate and expedite the research of other projects.
Biography
Anton Sax is a junior majoring in computer science interested in pursuing a career in computer vision or machine learning. He has been working as a student research assistant since May 2017 and is a member of the Delta Sigma Phi fraternity and the Solar House Design Team. In his free time, he enjoys playing piano and hanging out with friends.
Research Category
Sciences
Presentation Type
Oral Presentation
Document Type
Presentation
Location
Carver Room
Presentation Date
17 Apr 2018, 2:00 pm - 2:30 pm
Computer Vision Techniques to Extract Data from Images of Plants
Carver Room
PlantCV is a collection of code, or a library, that enables scientists to manipulate image data in order to filter out and select for desired values. By writing Python scripts using PlantCV, it is possible to automate the process of finding the shape of plants in images, and then extract valuable information, such as leaf area, from those images. In this way, it can be determined whether plants are growing at an expected rate in order to facilitate and expedite the research of other projects.
