Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicle multispectral sensors
This research established a high-precision, time-efficient, and practical UAV remote sensing-based method for growth monitoring and yield prediction in <i>G. uralensis</i>, offering a novel solution for standardized production of medicinal plant resources.
Authors
- Fengyu Han (ORCID: https://orcid.org/0000-0002-0337-4476)
- Haibin Guan (ORCID: https://orcid.org/0000-0002-8075-5168)
- Meng Ling-jiang (ORCID: https://orcid.org/0000-0003-1446-305X)
- Yang Cao (ORCID: https://orcid.org/0000-0002-3552-9153)
- Ao Zhang (ORCID: https://orcid.org/0000-0001-7205-9202)
- Xiuling Yu
- Zhaohui Dong (ORCID: https://orcid.org/0000-0002-6388-6879)
- Yan Xue (ORCID: https://orcid.org/0009-0006-0074-5995)
- Xin Jia (ORCID: https://orcid.org/0000-0002-5144-0765)
- Xiaoqin Wang
Institutions
- Inner Mongolia Autonomous Region Meteorological Bureau (CN)
- Inner Mongolia Medical University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-08-19
- DOI
- https://doi.org/10.3389/fpls.2025.1612898
- Citations
- 1
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Inner Mongolia Medical University