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?
This article describes how we convert individual bioaerosol particles into data available on our screen. In general, we try to answer one main question: How does real-time bioaerosol data get to users?
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.
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.
Pollen becomes an issue every year. At the latest in spring and certainly in summer when the birches and grasses start producing pollen. Area-wide pollen monitoring in Europe has been underway in the individual states for decades. However, nationwide, automatic real-time pollen monitoring in Europe is still in its infancy.