Building on the first seminar's foundation, this session will highlight projects that span a wide spectrum of environmental research areas, from advanced air quality forecasting to biodiversity monitoring and agricultural productivity assessment. These topics reflect the PEER network's commitment to fostering cross-disciplinary approaches and encouraging collaboration among researchers working at the intersection of AI and environmental science.
|
Time (CET, UTC+2) |
Topic |
Presenter |
|
10 am - 10:05 am |
Welcome |
TBA |
|
10:05 am - 10:25 am |
Forecasting Street-level NO2 and PM2.5 Concentrations in Copenhagen, Denmark using Machine Learning – Some Highlights |
Prof. Jibran Khan (Aarhus) |
|
10:25 am - 11:45 am |
Nationwide Monitoring of Bird and Bat Populations Using Passive Acoustic Monitoring and Deep Neural Networks |
Dr. Kevin Darras (INRAE) |
|
10:45 am – 11:05 am |
Environmental Monitoring Across Scales with AI: Promises, Evolution, Trends, and Challenges |
Dr. Loïc Dutrieux (EC Europa) |
|
11:05 am - 11:25 am |
The potential of irrigation for cereal production in Sub-Saharan Africa: A machine learning application for emulating crop growth at large scale |
Dr. Marco Rogna/MSc Ana Klinnert (EC Europa) |
|
11:35 am - Noon |
Conclusion - next steps and ideas for collaboration |
Kristian Meissner |