Computer vision species identification of lichens and bryophytes from biocrusts in Australian drylands

Abstract Premise Due to their small size and lack of easily visible macroscopic characters, the identification of cryptogam species has always been challenging. Here, the use of a machine learning computer vision method is explored for the identification of species of lichens and bryophytes from Aus...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Callum Lawler, Alexander Schmidt‐Lebuhn, D. Christine Cargill, Cécile Gueidan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-11-01
Schriftenreihe:	Applications in Plant Sciences
Schlagworte:	artificial intelligence Australian rangelands biological soil crusts bryophytes image classification lichens
Online-Zugang:	https://doi.org/10.1002/aps3.70029
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