Going deeper in the automated identification of Herbarium specimens

Going deeper in the automated identification of Herbarium specimens

Abstract Background Hundreds of herbarium collections have accumulated a valuable heritage and knowledge of plants over several centuries. Recent initiatives started ambitious preservation plans to digitize this information and make it available to botanists and the general public through web portal...

Full description

Bibliographic Details
Main Authors: Jose Carranza-Rojas, Herve Goeau, Pierre Bonnet, Erick Mata-Montero, Alexis Joly
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Evolutionary Biology
Subjects:
Biodiversity informatics
Computer vision
Deep learning
Plant identification
Herbaria
Online Access:http://link.springer.com/article/10.1186/s12862-017-1014-z

Internet

http://link.springer.com/article/10.1186/s12862-017-1014-z

Similar Items