Student working on a research project.

GLASS (Ground-Level Agricultural Survey System)

Image-tagging (identification of plant species in images) and assist in curation of training images for machine learning project. Opportunity for experience with deep learning. Hours very flexible.

Research Project Information

Disciplines: Planning, Public Health, Computer Science, Mathematics
Student Skill-Set Needed: Meticulous worker. Comfortable manipulating files on a computer. Ability to learn to distinguish plant species.
Compensation: Salary / Stipend
Available: Fall


For further information on this opportunity, or to apply, contact:

Faculty Member: John Ringland
Title: Associate Professor
Department: Mathematics
Office: 206 Math Bldg
Phone: 645-8773