{"id":44703,"date":"2026-01-14T08:18:43","date_gmt":"2026-01-14T07:18:43","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-en\/?post_type=events&p=44703"},"modified":"2026-01-26T12:59:17","modified_gmt":"2026-01-26T11:59:17","slug":"hyperspectral-remote-sensing-and-ai-in-agriculture","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fstm-en\/events\/hyperspectral-remote-sensing-and-ai-in-agriculture\/","title":{"rendered":"Hyperspectral Remote Sensing and AI in Agriculture"},"content":{"rendered":"\n
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The University of Luxembourg is pleased to invite you to the scientific workshop “Hyperspectral Remote Sensing and AI in Agriculture” on 4-5 February in Luxembourg, Campus Kirchberg. Please register<\/a> by 15th January 2026.<\/p>\n\n\n

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\nProgramme<\/h1>\n\n\n\n

\nDay 1: Wednesday 4 February 2026<\/h3>\n\n\n\n
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\n \n \n Welcome session <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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9:30-10:00 Registration and welcome coffee<\/p>\n\n

10:00-10:15 Welcome and organisational matters, Prof. Rebecca Teferle<\/strong><\/p>\n\n

10:15-10:20 Welcome Note on behalf of the Funding Bodies, Marie-Claude Marx<\/strong>, Luxembourg National Research Fund <\/p>\n <\/div>\n <\/div>\n<\/div>\n\n

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\n \n \n Session 1: Fundamentals of Hyperspectral Remote Sensing and UAV Platforms <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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10:20-11:05 Mapping Contents of Plant Foliar Pigments using Convolutional Neural Networks Trained on Radiative Transfer-simulated Hyperspectral Images<\/em>, Zbynek Malenovsky<\/strong>, University of Bonn<\/p>\n\n

11:05-11:50 Possibilities and limitations of crop nitrogen retrieval using (hyperspectral) remote sensing<\/em>, Martin Schlerf<\/strong>, Luxembourg Institute of Science and Technology<\/p>\n\n

11:50-12:15 Coffee Break <\/p>\n <\/div>\n <\/div>\n<\/div>\n\n

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\n \n \n Session 2: AI and Machine Learning for Agriculture: Spectral Analysis <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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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<\/em>, Jobin Francis<\/strong>, Fraunhofer Institute for Computer Graphics and Research IGD Rostock<\/p>\n\n

13:00-13:45 Material characterisation from hyperspectral data, using machine learning and physical modeling<\/em>, Paul Scheunders<\/strong>, University of Antwerp<\/p>\n\n

13:45-15:00 Networking Lunch <\/p>\n <\/div>\n <\/div>\n<\/div>\n\n

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\n \n \n Session 3: Precision Agriculture Applications: Crop Health, Early Disease Detection and Water-Stress Assessment <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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15:00-15:45 Disease detection in potato crop fields using multi-modal sensing approaches from Uncrewed Aerial Vehicles<\/em>, Lammert  Kooistra<\/strong>, Wageningen University and Research<\/p>\n\n

15:45-16:30 The detection of the disease Esca with hyperspectral UAV data<\/em>, Miriam Machwitz<\/strong>, Luxembourg Institute of Science and Technology<\/p>\n\n

16:30-16:50 From structure to stress assessment: Insights from multi-sensor vegetation remote sensing studies in forest environments, <\/em>Anna G\u00f6ritz<\/strong>, University of Freiburg<\/p>\n\n

16:50-17:10 Coffee Break<\/p>\n\n

17:10-17:30 From Leaf to Landscape: Interdisciplinary Remote Sensing of Plant Pathogens<\/em>, Rene Heim<\/strong>, University of G\u00f6ttingen (Online)<\/p>\n\n

17:30-17:50 Decoding stress responses in wheat using hyperspectral imaging and machine learning techniques, <\/em>Irsa Ejaz<\/strong>, <\/em>University of G\u00f6ttingen<\/p>\n\n

19:00-22:00 Workshop dinner <\/p>\n <\/div>\n <\/div>\n<\/div><\/div>\n\n\n

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\nDay 2:Thursday 5 February 2026<\/h3>\n\n\n\n
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\n \n \n Session 4: Nutrient and Fertilisation Strategies for Targeted Resource Management <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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9:00-9:45 Remote sensing of plant traits for nitrogen nutrition and yield estimation<\/em>, Kang Yu<\/strong>, Technical University of Munich<\/p>\n\n

9:45-10:05 Assessing the capability of UAV-derived narrow-band SIF to characterize nitrogen use efficiency in wheat<\/em>, Anirudh  Belwalkar<\/strong>, Technical University of Munich<\/p>\n\n

10:05-10:25 Spectral  diagnostics of soil nitrogen and leaf chlorophyll in wheat fields for precision agriculture<\/em>, Addisu Hunegnaw<\/strong>, University of Luxembourg<\/p>\n\n

10:25-10:45 From reflectance to crop phenotype: quantifying the uncertainty introduced by UAV atmospheric correction methods<\/em>, Wuhua Wang<\/strong>, Technical University of Munich<\/p>\n\n

10:45-11:05 Disentangling crop stressors using random forest and integrated hyperspectral and thermal satellite features<\/em>, Tingxuan Jiang<\/strong>, Luxembourg Institute of Science and Technology<\/p>\n\n

11:05-11:25 Anomaly Detection in Hyperspectral Imaging<\/em>, Salena Akter<\/strong>, University of Luxembourg<\/p>\n\n

11:25:11:50 Coffee break<\/p>\n <\/div>\n <\/div>\n<\/div>\n\n

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\n \n \n Closing session <\/span>\n\n <\/use><\/svg> <\/button>\n <\/h3>\n
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11:50-12:10 Closing panel and next steps, data sharing and benchmarks<\/p>\n\n

12:20-12:30 Closing remarks and group picture<\/p>\n <\/div>\n <\/div>\n<\/div><\/div>\n\n\n

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\nPoster session<\/h2>\n\n\n\n

Posters should be A0 portrait format and will be displayed for the full duration of the workshop.<\/p>\n\n\n

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