EGU25-7168, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7168
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Artificial Intelligence for Pollen and Spore Detection, Forecasting and Human Health (AIPS)
1,5,1,4,8,5,- 1School of Geography, Earth and Environmental Sciences, University of Birmingham, United Kingdom
- 2DustScan Ltd, Oxford, United Kingdom
- 3United Kingdom Met Office, Exeter, United Kingdom
- 4Toxicology Department, UK Health Security Agency, United Kingdom
- 5Centre for Atmospheric Science, University of Manchester, United Kingdom
- 6Chief Scientist's Group, Environment Agency, United Kingdom
- 7Centre for Environmental Health and Sustainability, University of Leicester, United Kingdom
- 8Respiratory Science, University of Leicester, United Kingdom
How to cite: Pope, F., Allison, G., Brown, K., Buckley, A., Crawford, I., Douglass, P., Hansell, A., MacKenzie, R., Marczylo, E., Mills, S., Neil, L., Satchwell, J., Symon, F., Topping, D., and Zhang, H.: Artificial Intelligence for Pollen and Spore Detection, Forecasting and Human Health (AIPS), EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7168, https://doi.org/10.5194/egusphere-egu25-7168, 2025.