ViTKAB: an efficient deep learning network for cotton leaf disease identification.

Xu L, Song H, Yang X, Xu P, Cai Z

Open source

DOI: 10.3389/fpls.2025.1719877
Published: 2025
Container: Frontiers in plant science
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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:10.3389/fpls.2025.1719877,
  title = {ViTKAB: an efficient deep learning network for cotton leaf disease identification.},
  author = {Xu L and Song H and Yang X and Xu P and Cai Z},
  year = {2025},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2025.1719877},
  url = {https://doi.org/10.3389/fpls.2025.1719877}
}

RIS

TY  - JOUR
TI  - ViTKAB: an efficient deep learning network for cotton leaf disease identification.
AU  - Xu L
AU  - Song H
AU  - Yang X
AU  - Xu P
AU  - Cai Z
PY  - 2025
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2025.1719877
UR  - https://doi.org/10.3389/fpls.2025.1719877
ER  -

APA

L, X., H, S., X, Y., P, X., & Z, C. (2025). ViTKAB: an efficient deep learning network for cotton leaf disease identification.. Frontiers in plant science. https://doi.org/10.3389/fpls.2025.1719877

Source records

pubmed · retrieved 2026-09-26T18:42:50.772Z
europe-pmc · retrieved 2026-09-26T18:42:50.757Z
doaj · retrieved 2026-09-26T18:42:50.749Z