Xiaoxin Song

Xiaoxin Song

PhD Student

Technical University of Munich

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.

Interests
  • Multi-scale plant phenotyping
  • Crop growth and senescence
  • Dynamic modeling
  • Remote sensing
Education
  • 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

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