9:30-10:00 Registration and welcome coffee

10:00-10:15 Welcome and organisational matters, Prof. Rebecca Teferle

10:15-10:20 Welcome Note on behalf of the Funding Bodies, Marie-Claude Marx, Luxembourg National Research Fund

10:20-11:05 Mapping Contents of Plant Foliar Pigments using Convolutional Neural Networks Trained on Radiative Transfer-simulated Hyperspectral Images, Zbynek Malenovsky, University of Bonn

11:05-11:50 Possibilities and limitations of crop nitrogen retrieval using (hyperspectral) remote sensing, Martin Schlerf, Luxembourg Institute of Science and Technology

11:50-12:15 Coffee Break

12:15-13:00 Application of Hyperspectral Imaging in Addressing Agricultural Challenges: Trends, Progress, and Challenges: with a specific use case on powdery mildew detection in strawberries, Jobin Francis, Fraunhofer Institute for Computer Graphics and Research IGD Rostock

13:00-13:45 Material characterisation from hyperspectral data, using machine learning and physical modeling, Paul Scheunders, University of Antwerp

13:45-15:00 Networking Lunch

15:00-15:45 Disease detection in potato crop fields using multi-modal sensing approaches from Uncrewed Aerial Vehicles, Lammert  Kooistra, Wageningen University and Research

15:45-16:30 The detection of the disease Esca with hyperspectral UAV data, Miriam Machwitz, Luxembourg Institute of Science and Technology

16:30-16:50 From structure to stress assessment: Insights from multi-sensor vegetation remote sensing studies in forest environments, Anna Göritz, University of Freiburg

16:50-17:10 Coffee Break

17:10-17:30 From Leaf to Landscape: Interdisciplinary Remote Sensing of Plant Pathogens, Rene Heim, University of Göttingen (Online)

17:30-17:50 Decoding stress responses in wheat using hyperspectral imaging and machine learning techniques, Irsa Ejaz, University of Göttingen

19:00-22:00 Workshop dinner

9:00-9:45 Remote sensing of plant traits for nitrogen nutrition and yield estimation, Kang Yu, Technical University of Munich

9:45-10:05 Assessing the capability of UAV-derived narrow-band SIF to characterize nitrogen use efficiency in wheat, Anirudh  Belwalkar, Technical University of Munich

10:05-10:25 Spectral  diagnostics of soil nitrogen and leaf chlorophyll in wheat fields for precision agriculture, Addisu Hunegnaw, University of Luxembourg

10:25-10:45 From reflectance to crop phenotype: quantifying the uncertainty introduced by UAV atmospheric correction methods, Wuhua Wang, Technical University of Munich

10:45-11:05 Disentangling crop stressors using random forest and integrated hyperspectral and thermal satellite features, Tingxuan Jiang, Luxembourg Institute of Science and Technology

11:05-11:25 Anomaly Detection in Hyperspectral Imaging, Salena Akter, University of Luxembourg

11:25:11:50 Coffee break

11:50-12:10 Closing panel and next steps, data sharing and benchmarks

12:20-12:30 Closing remarks and group picture