Xiaoxin Song is a PhD student at the Precision Agriculture Lab, Technische Universität München (TUM). Her research focuses on multi-scale plant and crop phenotyping, crop growth and senescence monitoring, dynamic modeling, and remote sensing. She is currently involved in the INVITE project, where she works on high-throughput phenotyping of dynamic traits in winter wheat.
PhD in Precision Agriculture, 2024 (expected)
Technical University of Munich
Master in Smart Agriculture, 2020–2023
Yangzhou University
Bachelor in Agriculture, 2016–2020
Hebei Agricultural University