Recommendationmodel-written summary

The authors suggest combining one SVM and two nearest-neighbor models to improve identification accuracy.

A claim from Identification and Disease Index Inversion of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data at Canopy Level · 2015

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors suggest combining one SVM and two nearest-neighbor models to improve identification accuracy.

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.

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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.”

✓ located verbatim in the source · abstract, characters 748–933
t0

“Wheat Stripe Rust and Wheat Leaf Rust”

✓ located verbatim in the source · title, characters 46–83

Title

Identification and Disease Index Inversion of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data at Canopy Level

Hui Wang; Hui Wang; Feng Qin; et al. Journal of Spectroscopy 2015. doi:10.1155/2015/651810

Other claims from this paper (3)

Record rev-bb66c0c81444b0de8ab1f33179f209b9629e607afa6cd295963851456a4d9919 · schema claims-v0.9 · position 3 in the model’s answer