Lang Qiao is currently a postdoctoral researcher in the Department of Bioproducts and Biosystems Engineering at the University of Minnesota. He previously held a postdoctoral position at the University of Wisconsin–Madison. He earned his Ph.D. from China Agricultural University in 2023. His research lies at the intersection of multi-scale agricultural remote sensing, high-throughput crop phenotyping, artificial intelligence, and field-based sensing systems. With a solid engineering background and an international research perspective, he focuses on integrating optical remote sensing with AI technologies to develop non-contact, high-throughput crop monitoring methods. His work covers multi-source data fusion from satellite, UAV, and ground-based sensing platforms; remote sensing inversion of crop growth parameters; and intelligent detection of various field stresses, including diseases, pests, nitrogen deficiency, and water stress. To date, he has published over 30 peer-reviewed papers.