Claim · model-written summary
The authors suggest combining one SVM and two nearest-neighbor models to improve identification accuracy.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- combination model could be constructed with one SVM model and two models built using K -nearest neighbors ( K NN) methode0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“To improve the identification accuracy, it was suggested that a combination model could be constructed with one SVM model and two models built using K -nearest neighbors ( K NN) method.”
t0“Wheat Stripe Rust and Wheat Leaf Rust”
Title
Hui Wang; Hui Wang; Feng Qin; et al. Journal of Spectroscopy 2015. doi:10.1155/2015/651810
Other claims from this paper (3)
- Method / resource The wavelet packet SVM achieved 99.67% training accuracy and outperformed the other two models.
- Method / resource The wavelet packet SVM achieved 82.00% testing accuracy and outperformed the other two models.
- Method / resource SVR disease-index inversion gave satisfactory results for both rust diseases.