Automatic real-time monitoring of fungal spores: the case of spp.

Journal: Aerobiologia
Published Date:

Abstract

We present the first implementation of the monitoring of airborne fungal spores in real-time using digital holography. To obtain observations of spp. spores representative of their airborne stage, we collected events measured in the air during crop harvesting in a contaminated potato field, using a Swisens Poleno device. The classification algorithm used by MeteoSwiss for operational pollen monitoring was extended by training the system using this additional dataset. The quality of the retrieved concentrations is evaluated by comparison with parallel measurements made with a manual Hirst-type trap. Correlations between the two measurements are high, especially over the main dispersion period of spp., demonstrating the potential for automatic real-time monitoring of fungal spores.

Authors

  • Sophie Erb
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Alexis Berne
    Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Station 2, CH-1015 Lausanne, Switzerland.
  • Nina Burgdorfer
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Bernard Clot
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Marie-José Graber
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Gian Lieberherr
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Christine Sallin
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Fiona Tummon
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Benoît Crouzy
    Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.

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