A bimodal image dataset for seed classification from the visible and near-infrared spectrum.

Kukushkin M, Bogdan M, Goertz S, Callsen JO, Oldenburg E, Enders M, Schmid T.

Open source

DOI: 10.1038/s41597-025-05979-6
Published: 2025-10-08
Container: Sci Data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-025-05979-6,
  title = {A bimodal image dataset for seed classification from the visible and near-infrared spectrum.},
  author = {Kukushkin M and  Bogdan M and  Goertz S and  Callsen JO and  Oldenburg E and  Enders M and  Schmid T.},
  year = {2025},
  journal = {Sci Data},
  doi = {10.1038/s41597-025-05979-6},
  url = {https://doi.org/10.1038/s41597-025-05979-6}
}

RIS

TY  - JOUR
TI  - A bimodal image dataset for seed classification from the visible and near-infrared spectrum.
AU  - Kukushkin M
AU  -  Bogdan M
AU  -  Goertz S
AU  -  Callsen JO
AU  -  Oldenburg E
AU  -  Enders M
AU  -  Schmid T.
PY  - 2025
JO  - Sci Data
DO  - 10.1038/s41597-025-05979-6
UR  - https://doi.org/10.1038/s41597-025-05979-6
ER  -

APA

M, K., M, B., S, G., JO, C., E, O., M, E., & T., S. (2025). A bimodal image dataset for seed classification from the visible and near-infrared spectrum.. Sci Data. https://doi.org/10.1038/s41597-025-05979-6

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europe-pmc · retrieved 2026-09-27T05:24:55.590Z
doaj · retrieved 2026-09-27T05:24:55.610Z