OneRosette to predict them all: single plant prompting on a visual foundation model to segment symptomatic Arabidopsis thaliana time series.

Maciá FM, Wiedemann-Merdinoglu S, Rousseau D, Peeters N

Open source

DOI: 10.1186/s13007-025-01432-2
Published: 2025 Oct 9
Container: Plant methods
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13007-025-01432-2,
  title = {OneRosette to predict them all: single plant prompting on a visual foundation model to segment symptomatic Arabidopsis thaliana time series.},
  author = {Maciá FM and Wiedemann-Merdinoglu S and Rousseau D and Peeters N},
  year = {2025},
  journal = {Plant methods},
  doi = {10.1186/s13007-025-01432-2},
  url = {https://doi.org/10.1186/s13007-025-01432-2}
}

RIS

TY  - JOUR
TI  - OneRosette to predict them all: single plant prompting on a visual foundation model to segment symptomatic Arabidopsis thaliana time series.
AU  - Maciá FM
AU  - Wiedemann-Merdinoglu S
AU  - Rousseau D
AU  - Peeters N
PY  - 2025
JO  - Plant methods
DO  - 10.1186/s13007-025-01432-2
UR  - https://doi.org/10.1186/s13007-025-01432-2
ER  -

APA

FM, M., S, W., D, R., & N, P. (2025). OneRosette to predict them all: single plant prompting on a visual foundation model to segment symptomatic Arabidopsis thaliana time series.. Plant methods. https://doi.org/10.1186/s13007-025-01432-2

Source records

pubmed · retrieved 2026-11-10T12:06:25.020Z
europe-pmc · retrieved 2026-11-10T12:06:25.035Z
doaj · retrieved 2026-11-10T12:06:25.024Z
hal · retrieved 2026-11-10T12:06:25.079Z