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Edible Plant Classification

Writer's picture: Rich NguyenRich Nguyen

Updated: Jan 23, 2021

1st Place Winner in Section 02: Spring 2019

by Team Finesse

Our project intends to solve a problem in the field of plant edibility using image classification. The application of this project is to provide the classification component of a system that can determine if a plant is edible using an image of the plant. We reason that edible (and inedible) plants do not have enough common features to allow for a binary classifier, so we instead intend to classify each plant individually by species, and use a look-up table to determine edibility. It is important to note that we are classifying plants and then determining their edibility based on existing knowledge, not attempting to determine if a new class of plant is edible.



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© 2022 by Rich Nguyen.

Thornton Hall,

P.O. Box 400259,

Charlottesville, VA 22904

Email: nn4pj@virginia.edu

Phone: 703.541.8442

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