Claim · model-written summary
The proposed method achieves superior accuracy and stability compared with existing chrysanthemum classification methods.
- Taxon
- Chrysanthemum
Chrysanthemumt0 - Outcome
- accuracy and stabilitye0
- Direction
- superiore0
- Comparator
- existing classification methodse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
.jpeg?width=500)
Verbatim
t0“Chrysanthemum classification”
e0“the proposed method achieves superior accuracy and stability compared to existing classification methods”
Title
Chrysanthemum classification via color space fusion transformer
Jian Jiang; Xichen Yang; Tianshu Wang; et al. Scientific Reports 2026. doi:10.1038/s41598-026-40027-2
Other claims from this paper (1)
- Method / resource The proposed method achieves a classification accuracy of 96.16%.