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Automatic real-time monitoring of fungal spores: the case of Alternaria spp.
Erb, Sophie; Berne, Alexis; Burgdorfer, Nina; Clot, Bernard; Graber, Marie-José; Lieberherr, Gian; Sallin, Christine; Tummon, Fiona; Crouzy, Benoît.
Afiliação
  • Erb S; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Berne A; Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Station 2, CH-1015 Lausanne, Switzerland.
  • Burgdorfer N; Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Station 2, CH-1015 Lausanne, Switzerland.
  • Clot B; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Graber MJ; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Lieberherr G; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Sallin C; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Tummon F; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
  • Crouzy B; Surface Measurements, MeteoSwiss, Chemin de l'Aérologie, CH-1530 Payerne, Switzerland.
Aerobiologia (Bologna) ; 40(1): 123-127, 2024.
Article em En | MEDLINE | ID: mdl-38766603
ABSTRACT
We present the first implementation of the monitoring of airborne fungal spores in real-time using digital holography. To obtain observations of Alternaria 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 Alternaria spp., demonstrating the potential for automatic real-time monitoring of fungal spores.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article