Lu Cao: Hay Fever, how AI improves pollen monitoring

The hay fever season lasts longer than it used to because of climate change. LIACS Assistant Professor Lu Cao explains how machine learning and AI can help to easier count pollen in the air. This improves the accuracy and efficiency of pollen monitoring, a critical tool for understanding seasonal allergies, air quality, and climate impact. Discover how AI-driven technologies can improve the accuracy and efficiency of pollen monitoring, providing valuable insights for municipal governments. With better data, policymakers can adjust their strategies on public green spaces, balancing ecological benefits with the needs of residents affected by allergies. Idea by Dimitra KouimtzidouResearch, planning & coordination by Marcel Tichelaar & Dimitra KouimtzidouInterview, production & editing by Michiel van Poelgeest

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