Universal system and method for automatic classification of pollen particle types in air in real time

The present invention relates to software support for a device for detecting pollen particle types in air in real time. Software support is reflected in the classification of pollen particles in the air, in real time via neural network and this is the basic feature of the innovation of the invention. The classification includes the preparation of data for classification by analyzing 3 characteristics of the detected particles and after the preparation the classification takes place via a neural network. In the preparation of data, the spectrum of Mi’s scattering of pollen particles is analyzed, then the fluorescence spectrum and the duration of fluorescence, and then the neural network extracts the statistical characteristics of pollen particles and makes a universal classification.