Title

Computer Vision Techniques to Extract Data from Images of Plants

Presenter Information

Anton Sax

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

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Apr 17th, 2:00 PM Apr 17th, 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.