Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplers.
- DOI
- 10.1038/s41598-025-31646-2
- Published
- 2025 Dec 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-31646-2,
title = {Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplers.},
author = {Biricz A and Magyar D and Gedda B and Spanu A and Fillinger J and Pesti A and Csabai I and Pollner P},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-31646-2},
url = {https://doi.org/10.1038/s41598-025-31646-2}
}RIS
TY - JOUR TI - Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplers. AU - Biricz A AU - Magyar D AU - Gedda B AU - Spanu A AU - Fillinger J AU - Pesti A AU - Csabai I AU - Pollner P PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-31646-2 UR - https://doi.org/10.1038/s41598-025-31646-2 ER -
APA
A, B., D, M., B, G., A, S., J, F., A, P., I, C., & P, P. (2025). Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplers.. Scientific reports. https://doi.org/10.1038/s41598-025-31646-2
Source records
- pubmed · retrieved 2026-09-25T17:25:15.799Z