Finally, a support vector machine (SVM) model based Phone Number List on the full waveband and selected wavelengths was used for nondestructive detection of mechanical parameters. Yuan et al. (2022) obtained the reflection (R), absorption (A) and Phone Number List Kubelka–Munk (K-M) spectra of Lingwu jujube after bruising by hyperspectral imaging technology, and the feasibility of detecting the early damage degree of Lingwu jujube based Phone Number List on absorption spectra using different preprocessing methods and modeling approaches was demonstrated.
Some previous studies have been done to Phone Number List detect the storage time of fruits after bruising by hyperspectral imaging. For example, Chen et al. (2017) collected 480 hyperspectral images of intact samples and samples from 1 to 7 days after damage, and 60 kulle pears were used as the study object. The spectral data were processed by Phone Number List wavelet transform (WT), and 19 feature wavelengths were extracted from the full-spectrum information using second-order derivatives, and a support vector machine (SVM) model was established based on the full spectrum and the extracted feature wavelengths, respectively. And the Phone Number List recognition rate of both prediction sets reached 93.75% in the discriminant analysis models based on the full spectrum and the feature wavelengths.
Yuan et al. (2021) used the hyperspectral Phone Number List echnique to collect five time-point average spectra of Lingwu long jujube. Based on raw Phone Number List data and pre-processed spectra, a partial least squares discriminant analysis (PLS-DA) classification model was established; then, various variable selection methods were used to select the feature variables; and finally, a PLS-DA model based on the feature variables was Phone Number List developed; the results showed that the hyperspectral imaging technology combining with PLS-DA could distinguish bruise’s Lingwu long jujube at different storage times.