Early detection of pine wilt disease infection in conifer-broadleaf mixed forests using UAV-based multi-sensor data fusion.
- DOI
- 10.1002/ps.71207
- Published
- 2026 Aug 12
- Container
- Pest management science
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1002/ps.71207,
title = {Early detection of pine wilt disease infection in conifer-broadleaf mixed forests using UAV-based multi-sensor data fusion.},
author = {Lin Q and Li T and Wang J and Huang H and Hu P and Li S and Du H and Zhou G},
year = {2026},
journal = {Pest management science},
doi = {10.1002/ps.71207},
url = {https://doi.org/10.1002/ps.71207}
}RIS
TY - JOUR TI - Early detection of pine wilt disease infection in conifer-broadleaf mixed forests using UAV-based multi-sensor data fusion. AU - Lin Q AU - Li T AU - Wang J AU - Huang H AU - Hu P AU - Li S AU - Du H AU - Zhou G PY - 2026 JO - Pest management science DO - 10.1002/ps.71207 UR - https://doi.org/10.1002/ps.71207 ER -
APA
Q, L., T, L., J, W., H, H., P, H., S, L., H, D., & G, Z. (2026). Early detection of pine wilt disease infection in conifer-broadleaf mixed forests using UAV-based multi-sensor data fusion.. Pest management science. https://doi.org/10.1002/ps.71207
Source records
- pubmed · retrieved 2026-09-25T12:50:14.407Z
- europe-pmc · retrieved 2026-09-25T12:50:14.419Z