Claim · model-written summary
K nearest neighbors with successive projections on reverse spectra was selected as the best model.
- Taxon
- barley seeds
Hordeum vulgaret0 - Outcome
- best discriminant modele0
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“the combination of k‐nearest neighbors and successive projections algorithm based on the reverse spectral data was selected as the best discriminant model”
t0“barley seeds varieties using hyperspectral data”
Title
Heng Sun; Liu Zhang; Hao Li; et al. Journal of Food Process Engineering 2021. doi:10.1111/jfpe.13769
Other claims from this paper (7)
- Method / resource Reverse spectra with multivariate scatter correction gave the best modeling results.
- Method / resource Ventral spectra with Savitzky–Golay first derivative gave the best modeling results.
- Method / resource Calibration accuracy was 95.52%.
- Method / resource Prediction accuracy was 93.71%.
- Method / resource Calibration Kappa was 0.9424.
- Method / resource Prediction Kappa was 0.9156.
- Method / resource Mixed reverse and ventral spectral data gave satisfactory results.