Pretraga
Rezultati
Airborne fungal spore monitoring: between analyst proficiency testing
[2021]
Galán, C.; Smith, M.; Damialis, A.; Frenguelli, G.; Gehrig, R.; Grinn-Gofroń, A.; Kasprzyk, I.; Magyar, D.; Oteros, J.; Šaulienė, I.;
Short communication: Do we need continuous sampling to capture variability of hourly pollen concentrations?
[2019]
Šikoparija, Branko Pollen-monitoring: between analyst proficiency testing
[2017]
Šikoparija, Branko The application of a neural network-based ragweed pollen forecast by the Ragweed Pollen Alarm System in the Pannonian biogeographical region
[2019]
Csépe, Z.; Leelőssy, Á.; Mányoki, G.; Kajtor-Apatini, D.; Udvardy, O.; Péter, B.; Páldy, A.; Gelybó, G.; Szigeti, T.; Pándics, T.;
How to prepare a pollen calendar for forecasting daily pollen concentrations of Ambrosia, Betula and Poaceae?
[2018]
Šikoparija, Branko Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creation
[2025]
Bruffaerts, Nicolas; Graf, Elias; Matavulj, Predrag; Tiwari, Astha; Pyrri, Ioanna; Zeder, Yanick; Erb, Sophie; Plaza, Maria; Dietler, Silas; Bendinelli, Tommaso;
Manual and automatic quantification of airborne fungal spores during wheat harvest period
[2023]
Simović, Isidora Analysis of airborne pollen time series originating from Hirst-type volumetric samplers—comparison between mobile sampling head oriented toward wind direction and fixed sampling head with two-layered inlet
[2021]
Mimić, Gordan A follow-up study examining airborne Ambrosia pollen in the Milan area in 2014 in relation to the accidental introduction of the ragweed leaf beetle Ophraella communa
[2015]
Bonini, M.; Šikoparija, Branko Towards standardisation of automatic pollen and fungal spore monitoring: best practises and guidelines
[2022]
Tummon, Fiona; Bruffaerts, Nicolas; Celenk, Sevcan; Choël, Marie; Clot, Bernard; Crouzy, Benoît; Galán, Carmen; Gilge, Stefan; Hajkova, Lenka; Mokin, Vitalii;
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