Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review

Author:

Hussein Burhan Rashid,Malik Owais Ahmed,Ong Wee-Hong,Slik Johan Willem Frederik

Funder

Universiti Brunei Darussalam

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference157 articles.

1. Single-stage semantic segmentation from image labels;Araslanov,2020

2. The SALIX method: a semi-automated workflow for herbarium specimen digitization;Barber;Taxon.,2013

3. LeafNet: a computer vision system for automatic plant species identification;Barré;Ecol. Inform.,2017

4. Herbaria are a major frontier for species discovery;Bebber;Proc. Natl. Acad. Sci. U. S. A.,2010

5. Searching the world’s herbaria: a system for visual identification of plant species;Belhumeur,2008

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