T-YOLO: a lightweight and efficient detection model for nutrient buds in complex tea-plantation environments.

Bai B, Wang J, Li J, Yu L, Wen J, Han Y

DOI: 10.1002/jsfa.13396
Published: 2024 Aug 15
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. 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:10.1002/jsfa.13396,
  title = {T-YOLO: a lightweight and efficient detection model for nutrient buds in complex tea-plantation environments.},
  author = {Bai B and Wang J and Li J and Yu L and Wen J and Han Y},
  year = {2024},
  journal = {Journal of the science of food and agriculture},
  doi = {10.1002/jsfa.13396},
  url = {https://doi.org/10.1002/jsfa.13396}
}

RIS

TY  - JOUR
TI  - T-YOLO: a lightweight and efficient detection model for nutrient buds in complex tea-plantation environments.
AU  - Bai B
AU  - Wang J
AU  - Li J
AU  - Yu L
AU  - Wen J
AU  - Han Y
PY  - 2024
JO  - Journal of the science of food and agriculture
DO  - 10.1002/jsfa.13396
UR  - https://doi.org/10.1002/jsfa.13396
ER  -

APA

B, B., J, W., J, L., L, Y., J, W., & Y, H. (2024). T-YOLO: a lightweight and efficient detection model for nutrient buds in complex tea-plantation environments.. Journal of the science of food and agriculture. https://doi.org/10.1002/jsfa.13396

Source records

pubmed · retrieved 2026-09-26T15:06:26.165Z