Chlorophyll fluorescence response mechanism to pine wilt disease infection and the potential of combining green light and <scp>SWIR</scp> bands for early diagnosis
This study determined key chlorophyll fluorescence parameters and diagnostic spectral bands for early detection, and proposed a novel strategy of combining sensitive bands with chlorophyll fluorescence for early identification, effectively overcoming the technical bottleneck in early-stage detection of traditional single-modality data. © 2025 Society of Chemical Industry.
Authors
- Lingting Lei
- Geng Wang (ORCID: https://orcid.org/0009-0009-1834-6871)
- Wenyuan Huang (ORCID: https://orcid.org/0000-0003-3815-9263)
- Xiaoli Zhang (ORCID: https://orcid.org/0000-0002-0770-5594)
- Xinyi Han (ORCID: https://orcid.org/0000-0002-3045-3997)
- Xuanhao Yan
- Zuwei Qian (ORCID: https://orcid.org/0009-0008-3717-4510)
Institutions
- Beijing Forestry University (CN)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1002/ps.70326
- Citations
- 2
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 3.43