Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning
This airborne hyperspectral canopy-based estimation technology provides an accurate, non-destructive solution for monitoring ginkgo leaf yield in field cultivation.
Authors
- Weijun Xie (ORCID: https://orcid.org/0009-0000-8901-6655)
- Chi Zhou (ORCID: https://orcid.org/0000-0002-2417-6663)
- Qiaolin Ye (ORCID: https://orcid.org/0000-0002-8793-8610)
- Liang Qi
- Zhiyi Zuo (ORCID: https://orcid.org/0000-0002-3542-5047)
- Bin Wu (ORCID: https://orcid.org/0000-0002-7568-1993)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-1188-2120)
- Maocheng Zhao
- Hongyan Zou
Institutions
- Nanjing Forestry University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-11-28
- DOI
- https://doi.org/10.3389/fpls.2025.1698830
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00