SwisensPoleno’s artificial intelligence uses a pre-filter to separate different particle categories. In this short blog article, we explain what the prefilter for automatic pollen identification is all about. In doing so, we answer the following question: How can SwisensPoleno distinguish pollen from other aerosol particles?
Can SwisensPoleno identify pollen in my region? To address this question, in this article we look at our systems for real-time monitoring of pollen. We show which pollen types SwisensPoleno can currently identify. In addition, you will learn what ways exist should the pollen taxa you want not be on the list.
In this blog post we venture a comparison of the costs of automated versus traditional pollen monitoring. We look at the initial costs as well as the long-term operating costs of traditional pollen counting with the “Hirst method” versus an automated solution for real-time pollen monitoring.
SwisensPoleno Mars provides real-time pollen data for pollen allergy sufferers in Melbourne. Local TV station 9 News Melbourne in collaboration with Melbourne Pollen Count, report benefits of real-time pollen data for both scientists and Melbourne residents affected by pollen allergies.
Pollen is a major component of pathogenic bioaerosols transported through the air. Bioaerosols, invisible to the eye, spread very quickly and over long distances. Bioaerosols also cause allergic reactions and diseases, which can cause great harm and sometimes life-threatening situations for us humans as well as for animals and plants. With this awareness, it seems obvious that we should know more about the air we breathe.
An interesting article about the increase in scientific publications on the topic of pollen allergy and pollen forecasting. Monitoring and modelling with the help of automated pollen measurements is the focus of what is happening. Consequently, the abstract about the mentioned article: