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Table 7 The prediction results of kiwifruit TA values by PLSR and SVR models using Savitzky–Golay 1st derivative spectral data and different wavelength selections

From: Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics

Prediction model

Wavelength selection

\({R}_{Cal}^{2}\)

\({RMSE}_{Cal}\)

\({R}_{CV}^{2}\)

\({RMSE}_{CV}\)

PLSR

None

0.9619

0.0225

0.8183

0.0515

CARS

0.9797

0.0164

0.9500

0.0259

SPA

0.5800

0.0726

0.5714

0.0720

UVE

0.8072

0.0497

0.7761

0.0537

SVR

None

0.9608

0.0231

0.7982

0.0561

CARS

0.9642

0.0218

0.9771

0.0317

SPA

0.5847

0.0745

0.5750

0.0742

UVE

0.8570

0.0437

0.7812

0.0587

  1. Bold text indicates the optimal model structure