A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease
- DOI
- 10.1038/s41598-025-24854-3
- Published
- 2025-11-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-24854-3,
title = {A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease},
author = {Gang Chen and Mengquan Wu and Longxing Liu and Shikuan Wang and Xiang Wang and Xuqing Zhang and Jinyi Lv and Yijie Tang and Bowen Liu and Hongyu Kan and Yuying Ran and Huining Lai},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-24854-3},
url = {https://doi.org/10.1038/s41598-025-24854-3}
}RIS
TY - JOUR TI - A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease AU - Gang Chen AU - Mengquan Wu AU - Longxing Liu AU - Shikuan Wang AU - Xiang Wang AU - Xuqing Zhang AU - Jinyi Lv AU - Yijie Tang AU - Bowen Liu AU - Hongyu Kan AU - Yuying Ran AU - Huining Lai PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-24854-3 UR - https://doi.org/10.1038/s41598-025-24854-3 ER -
APA
Chen, G., Wu, M., Liu, L., Wang, S., Wang, X., Zhang, X., Lv, J., Tang, Y., Liu, B., Kan, H., Ran, Y., & Lai, H. (2025). A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease. Scientific Reports. https://doi.org/10.1038/s41598-025-24854-3
Source records
- crossref · retrieved 2026-11-10T16:41:47.414Z