Overview of PlantCLEF 2021: cross-domain plant identification
Agropolis International · Centre de Coopération Internationale en Recherche Agronomique pour le Développement · +4 more institutions
Abstract
Automated plant identification has improved considerably thanks to recent advances in deep learning and the availability of training data with more and more field photos. However, this profusion of data concerns only a few tens of thousands of species, mainly located in North America and Western Europe, much less in the richest regions in terms of biodiversity such as tropical countries. On the other hand, for several centuries, botanists have systematically collected, catalogued and stored plant specimens in herbaria, especially in tropical regions, and recent efforts by the biodiversity informatics community have made it possible to put millions of digitised records online. The LifeCLEF 2021 plant…
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Authors
3- HGHervé GoëauCorresponding
Agropolis International, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations
- PBPierre Bonnet
Agropolis International, UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, Centre de Coopération Internationale en Recherche Agronomique pour le Développement
- AJAlexis Joly
Data Management (Italy), Institut National Polytechnique de Toulouse, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Topics & keywords
- Herbarium
- Plant identification
- Metadata
- Identification (biology)
- Biodiversity
- Geography
- Computer science
- Plant species