Quantitative Prediction of Honey Peach (Prunus persica L.) Maturity Using Hyperspectral Imaging and Regression Generative Adversarial Network.

Zhang C, Zhang H, Xie C, Xu L, Zhou H, Jiang H

DOI: 10.1177/00037028261486543
Published: 2026 Sep 4
Container: Applied spectroscopy
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1177/00037028261486543,
  title = {Quantitative Prediction of Honey Peach (Prunus persica L.) Maturity Using Hyperspectral Imaging and Regression Generative Adversarial Network.},
  author = {Zhang C and Zhang H and Xie C and Xu L and Zhou H and Jiang H},
  year = {2026},
  journal = {Applied spectroscopy},
  doi = {10.1177/00037028261486543},
  url = {https://doi.org/10.1177/00037028261486543}
}

RIS

TY  - JOUR
TI  - Quantitative Prediction of Honey Peach (Prunus persica L.) Maturity Using Hyperspectral Imaging and Regression Generative Adversarial Network.
AU  - Zhang C
AU  - Zhang H
AU  - Xie C
AU  - Xu L
AU  - Zhou H
AU  - Jiang H
PY  - 2026
JO  - Applied spectroscopy
DO  - 10.1177/00037028261486543
UR  - https://doi.org/10.1177/00037028261486543
ER  -

APA

C, Z., H, Z., C, X., L, X., H, Z., & H, J. (2026). Quantitative Prediction of Honey Peach (Prunus persica L.) Maturity Using Hyperspectral Imaging and Regression Generative Adversarial Network.. Applied spectroscopy. https://doi.org/10.1177/00037028261486543

Source records

pubmed · retrieved 2026-09-25T06:03:45.377Z