Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery
- DOI
- 10.3897/biss.10.183020
- Published
- 2026-01-08
- Container
- Biodiversity Information Science and Standards
- Publisher
- Pensoft Publishers
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3897/biss.10.183020,
title = {Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery},
author = {Hervé Goëau and Vincent Espitalier and Jean-Christophe Lombardo and Christophe Botella and Toke Thomas Høye and Mads Dyrmann and Pierre Bonnet and Alexis Joly},
year = {2026},
journal = {Biodiversity Information Science and Standards},
doi = {10.3897/biss.10.183020},
url = {https://doi.org/10.3897/biss.10.183020}
}RIS
TY - JOUR TI - Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery AU - Hervé Goëau AU - Vincent Espitalier AU - Jean-Christophe Lombardo AU - Christophe Botella AU - Toke Thomas Høye AU - Mads Dyrmann AU - Pierre Bonnet AU - Alexis Joly PY - 2026 JO - Biodiversity Information Science and Standards DO - 10.3897/biss.10.183020 UR - https://doi.org/10.3897/biss.10.183020 ER -
APA
Goëau, H., Espitalier, V., Lombardo, J., Botella, C., Høye, T. T., Dyrmann, M., Bonnet, P., & Joly, A. (2026). Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery. Biodiversity Information Science and Standards. https://doi.org/10.3897/biss.10.183020
Source records
- crossref · retrieved 2026-09-24T18:54:19.769Z