Qualifying exam: Process-guided machine learning with multi-source satellite data to quantify soil moisture and N₂O emissions for climate-smart agriculture
PhD student Sijia Feng, Department of Agroecology
Info about event
Time
Location
1171-230, Ole Worms Allé 3, 8000 Aarhus C
Examiners:
External examiner: Associate Professor Andreas Ibrom, Department of Environmental and Resource Engineering, Technical University of Denmark
Internal examiner: Professor Lis Wollesen de Jonge, Department of Agroecology, Aarhus University
Examiner / Main supervisor: Associate professor Sheng Wang, Department of Agroecology, Aarhus University
Examiner / Co-supervisor: Professor Klaus Butterbach-Bahl, Department of Agroecology, Aarhus University
Examiner / Co-supervisor: Professor Claire Treat, Department of Agroecology, Aarhus University
Examiner / Co-supervisor: Professor Christian Igel, Department of Agroecology, Aarhus University