YOLOv11n for precision agriculture: lightweight and efficient detection of guava defects across diverse conditions.
- DOI
- 10.1002/jsfa.14331
- Published
- 2025 Aug 30
- Container
- Journal of the science of food and agriculture
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1002/jsfa.14331,
title = {YOLOv11n for precision agriculture: lightweight and efficient detection of guava defects across diverse conditions.},
author = {Ganapathy MR and Periasamy S and Pugazhendi P and Manuvel Antony CG},
year = {2025},
journal = {Journal of the science of food and agriculture},
doi = {10.1002/jsfa.14331},
url = {https://doi.org/10.1002/jsfa.14331}
}RIS
TY - JOUR TI - YOLOv11n for precision agriculture: lightweight and efficient detection of guava defects across diverse conditions. AU - Ganapathy MR AU - Periasamy S AU - Pugazhendi P AU - Manuvel Antony CG PY - 2025 JO - Journal of the science of food and agriculture DO - 10.1002/jsfa.14331 UR - https://doi.org/10.1002/jsfa.14331 ER -
APA
MR, G., S, P., P, P., & CG, M. A. (2025). YOLOv11n for precision agriculture: lightweight and efficient detection of guava defects across diverse conditions.. Journal of the science of food and agriculture. https://doi.org/10.1002/jsfa.14331
Source records
- pubmed · retrieved 2026-09-26T16:40:26.128Z