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PRODID:-//Memento EPFL//
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SUMMARY:Towards automatic pollen monitoring
DTSTART:20151013T121500
DTEND:20151013T130000
DTSTAMP:20261005T125817Z
UID:a1ccc0d4375a9faf754e2fe67f286ef8ce3d01bbb3ca7d85f4322eb6
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Benoît Crouzy\, MeteoSwiss\, Payerne\, CH\nAbstract:\nWe f
 irst review the current practices for airborne pollen and spores monitorin
 g based on volumetric sampling and manual microscope counting. We then dis
 cuss the advantages of an automated system producing real-time data and po
 ssible applications.\nDifferent prototypes for automatic pollen monitoring
  were tested at the Federal Office of Meteorology and Climatology in Payer
 ne. Those systems are based either on image recognition or on air-flow cyt
 ometry. While all systems were able to show good correlation with manual c
 ounts regarding total pollen count\, the identification of different taxa 
 appears to be more challenging. We focus on the system currently in valida
 tion phase at MeteoSwiss (PA-300\, Plair\, Switzerland)\, expected to demo
 nstrate the capability of detecting and counting different types of partic
 les\, including some air pollutants and several pollen types. We present r
 esults of pollen identification tests and a first comparison between manua
 l and automatic counts for the 2015 campaign.Short biography:\nBenoît Cro
 uzy studied physics at EPFL and ETHZ. After a PhD in theoretical physics (
 2009) he moved to hydrology and spent four years as a postdoc in the group
  of professor Paolo Perona (EPFL). Currently he is working as a scientist 
 at MeteoSwiss in the group of biometeorology (group leader Dr. Bernard Clo
 t).\nHe is mainly interested in mathematical methods applied to environmen
 tal sciences.
LOCATION:GR A3 31 http://plan.epfl.ch/?room=GR%20A3%2031
STATUS:CONFIRMED
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