TRIST: Tree Recognition Intelligent System

  • L. Onac Department of Computer Science, Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania

Abstract

Plant recognition represents a challenging computer vision problem due to the great variations of shape and texture among plant organs, within the same species. This paper proposes a light-weight, but reasonably deep Convolutional Neural Network architecture able to carry out this classification task. Multiple experiments were conducted with the proposed network architecture on the MEW2012 and Swedish leaf datasets. The experiments showed promising results, outperforming the current state-of-the-art systems that rely exclusively on a convolutional network for plant classification.

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Published
2019-06-17
How to Cite
ONAC, L.. TRIST: Tree Recognition Intelligent System. Studia Universitatis Babeș-Bolyai Informatica, [S.l.], v. 64, n. 1, p. 5-14, june 2019. ISSN 2065-9601. Available at: <http://www.cs.ubbcluj.ro/~studia-i/journal/journal/article/view/32>. Date accessed: 29 nov. 2020. doi: https://doi.org/10.24193/subbi.2019.1.01.
Section
Articles