Operational pollen classification using digital holography and fluorescence

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Abstract
This note introduces the newly developed MeteoSwiss operational pollen classification model based on digital holography and induced fluorescence measurements. A targeted selection of curated training datasets together with a revised model architecture result in considerable improvements compared to previous operational model. The new classification model, which has been trained specifically for Switzerland, is provided openly for use in a standard format for machine learning interoperability. In addition to the description of the new classification model, we motivate the need for this development by presenting the most significant issue met during the first 5 years of operation of the Swiss automatic pollen monitoring network.
Funding Information
  • European Association of National Metrology Institutes (23NRM03)
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (IZCOZ0 198117)
  • Horizon 2020 Framework Programme (101086109)

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