Editorial: AutoPollen special issue
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10453-024-09821-1.pdf
Reference10 articles.
1. Adamov, S., Lemonis, N., Clot, B., et al. (2021). On the measurement uncertainty of Hirst-type volumetric pollen and spore samplers. Aerobiologia. https://doi.org/10.1007/s10453-021-09724-5
2. Adamov, S., & Pauling, A. (2023). A real-time calibration method for the numerical pollen forecast model COSMO-ART. Aerobiologia, 39, 327–344. https://doi.org/10.1007/s10453-023-09796-5
3. Buters, J., Clot, B., Galán, C., et al. (2022). Automatic detection of airborne pollen: An overview. Aerobiologia. https://doi.org/10.1007/s10453-022-09750-x
4. Clot, B., Gilge, S., Hajkova, L., et al. (2020). The EUMETNET AutoPollen programme: Establishing a prototype automatic pollen monitoring network in Europe. Aerobiologia. https://doi.org/10.1007/s10453-020-09666-4
5. Daunys, G., Šukienė, L., Vaitkevičius, L., et al. (2022). Comparison of computer vision models in application to pollen classification using light scattering. Aerobiologia. https://doi.org/10.1007/s10453-022-09769-0
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