Articles | Volume 12, issue 6
Atmos. Meas. Tech., 12, 3435–3452, 2019
https://doi.org/10.5194/amt-12-3435-2019
Atmos. Meas. Tech., 12, 3435–3452, 2019
https://doi.org/10.5194/amt-12-3435-2019

Research article 28 Jun 2019

Research article | 28 Jun 2019

Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps

Ingrida Šaulienė et al.

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The goal is to evaluate the capabilities of the new Rapid-E monitor and to construct a first-level pollen recognition algorithm. The output data were treated with ANN aiming at classification of the injected pollen. Algorithms based on scattering and fluorescence data alone fall short of acceptable quality. The combinations of these exceeded 80 % accuracy for 5 out of 11 pollen species. Constructing multistep algorithms with sequential discrimination of pollen can be a possible way forward.