Species determination using AI machine-learning algorithms: Hebeloma as a case study
Abstract The genus Hebeloma is renowned as difficult when it comes to species determination. Historically, many dichotomous keys have been published and used with varying success rate. Over the last 20 years the authors have built a database of Hebeloma collections containing not only metadata but a...
Saved in:
Main Authors: | Peter Bartlett, Ursula Eberhardt, Nicole Schütz, Henry J. Beker |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-06-01
|
Series: | IMA Fungus |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43008-022-00099-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Demystifying Hebeloma: introducing hebeloma.org and its database
by: Peter Bartlett, et al.
Published: (2022-11-01) -
The genus Thaxterogaster (Cortinariaceae): phylogeny and species diversity in Western China
by: Zi-Rui Wang, et al.
Published: (2025-02-01) -
Description of the New Species <i>Laccaria albifolia</i> (Hydnangiaceae, Basidiomycota) and a Reassessment of <i>Laccaria affinis</i> Based on Morphological and Phylogenetic Analyses
by: Francesco Dovana, et al.
Published: (2024-12-01) -
Rhizosphere Microbes and the Roles They Play in Crop Production and Soil Health
by: Hui-Ling Liao
Published: (2023-10-01) -
Enlightening the black and white: species delimitation and UNITE species hypothesis testing in the Russula albonigra species complex
by: Ruben De Lange, et al.
Published: (2021-08-01)