RA-CottNet: A Real-Time High-Precision Deep Learning Model for Cotton Boll and Flower Recognition
- DOI
- 10.3390/ai6090235
- Published
- 09
- Container
- AI
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3390/ai6090235,
title = {RA-CottNet: A Real-Time High-Precision Deep Learning Model for Cotton Boll and Flower Recognition},
author = {Rui-Feng Wang and Yi-Ming Qin and Yi-Yi Zhao and Mingrui Xu and Iago Beffart Schardong and Kangning Cui},
year = {2025},
journal = {AI},
doi = {10.3390/ai6090235},
url = {https://doi.org/10.3390/ai6090235}
}RIS
TY - JOUR TI - RA-CottNet: A Real-Time High-Precision Deep Learning Model for Cotton Boll and Flower Recognition AU - Rui-Feng Wang AU - Yi-Ming Qin AU - Yi-Yi Zhao AU - Mingrui Xu AU - Iago Beffart Schardong AU - Kangning Cui PY - 2025 JO - AI DO - 10.3390/ai6090235 UR - https://doi.org/10.3390/ai6090235 ER -
APA
Wang, R., Qin, Y., Zhao, Y., Xu, M., Schardong, I. B., & Cui, K. (2025). RA-CottNet: A Real-Time High-Precision Deep Learning Model for Cotton Boll and Flower Recognition. AI. https://doi.org/10.3390/ai6090235
Source records
- doaj · retrieved 2026-09-25T23:16:44.045Z