RGB-Based Deep Learning for Freeze Damage Detection in Strawberry: Comparing Scratch and Transfer Learning Approaches on Custom Data.
- DOI
- 10.1002/pld3.70124
- Published
- 2025 Dec
- Container
- Plant direct
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- 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:10.1002/pld3.70124,
title = {RGB-Based Deep Learning for Freeze Damage Detection in Strawberry: Comparing Scratch and Transfer Learning Approaches on Custom Data.},
author = {Paul N and Sunil GC and Khan A and Das S and Hatterman-Valenti H and Anderson JV and Kandel JS and Horvath D and Sun X},
year = {2025},
journal = {Plant direct},
doi = {10.1002/pld3.70124},
url = {https://doi.org/10.1002/pld3.70124}
}RIS
TY - JOUR TI - RGB-Based Deep Learning for Freeze Damage Detection in Strawberry: Comparing Scratch and Transfer Learning Approaches on Custom Data. AU - Paul N AU - Sunil GC AU - Khan A AU - Das S AU - Hatterman-Valenti H AU - Anderson JV AU - Kandel JS AU - Horvath D AU - Sun X PY - 2025 JO - Plant direct DO - 10.1002/pld3.70124 UR - https://doi.org/10.1002/pld3.70124 ER -
APA
N, P., GC, S., A, K., S, D., H, H., JV, A., JS, K., D, H., & X, S. (2025). RGB-Based Deep Learning for Freeze Damage Detection in Strawberry: Comparing Scratch and Transfer Learning Approaches on Custom Data.. Plant direct. https://doi.org/10.1002/pld3.70124
Source records
- pubmed · retrieved 2026-09-25T19:18:06.393Z