## 4 Conclusions
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Data**} & \multirow{2}{*}{**N**} & \multirow{2}{*}{\
\begin{tabular}{c} **Actual** \\ **Class** \\ \end{tabular} } & \multicolumn{6}{c}{**Predicted Class**} & \multicolumn{6}{c}{**PCA-GRNN**} \\ \cline{3-10}  & & & **A** & **B** & **C** & **D** & **E** & **CA** & **CS** & **CSP** \\ \hline \multirow{2}{*}{
\begin{tabular}{c} The principal \\ components of \\ components of \\ the spectral data \\ \end{tabular} } & 47 & A & 47 & 0 & 0 & 0 & 0 & 0.9950 & 1 & 0.9934 \\ \cline{2-10}  & 55 & B & 1 & 54 & 0 & 0 & 0 & 0.9950 & 0.9818 & 1 \\ \cline{2-10}  & 26 & C & 0 & 0 & 26 & 0 & 0 & 1 & 1 & 1 \\ \cline{2-10}  & 40 & D & 0 & 0 & 0 & 39 & 1 & 0.9950 & 0.9750 & 1 \\ \cline{2-10}  & 32 & E & 0 & 0 & 0 & 0 & 32 & 0.9950 & 1 & 0.9940 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: The influence of multi-source data fusion on the predictive performance of PCA-GRNN. * _[PERSON]_ et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed segmentation algorithms. _Postharvest Biol. Technol._**2020**, _161_, 111071. [CrossRef]
* _[PERSON]_ (2015)__[PERSON] Pattern recognition in chemometrics. _Chemometr. Intell. Lab._**2015**, _149_, 90-96. [CrossRef]
* _[PERSON]_ et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Determination of soluble solids content in oranges using visible and near infrared full transmittance hyperspectral imaging with comparative analysis of models. _Postharvest Biol. Technol._**2020**, _163_, 111148. [CrossRef]
* _[PERSON]_ et al. (2019)_ [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Tomato volume and mass estimation using computer vision and machine learning algorithms: Cherry tomato model. _J. Food Eng._**2019**, _263_, 288-298. [CrossRef]
* _[PERSON]_ et al. (2020)_ [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Egg volume estimation based on image processing and computer vision. _J. Food Eng._**2020**, _283_, 110041. [CrossRef]
* _[PERSON]_ and [PERSON] (2007)_ [PERSON] [PERSON]; [PERSON] Image segmentation for fruit detection and yield estimation in apple orchards. _J. Field Robot._**2007**, _34_, 1039-1060. [CrossRef]
* _Khojastehnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhnezhneznezhnezhnezhnezhnezhnezhneznezhnezhnez  
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON] DA-Based Parameter Optimization of Combined Kernel Support Vector Machine for Cancer Diagnosis. _Processes_**2019**, \(7\), 263. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Spectral and Image Integrated Analysis of Hyperspectral Data for Waxy Corn Seed Variety Classification. _Sensors_**2015**, _15_, 15578-15594. [CrossRef]
* _[PERSON] et al. (2007)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-agent decision fusion for motor fault diagnosis. _Mech. Syst. Signal Process._**2007**, _21_, 1285-1299. [CrossRef]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks. _Sensors_**2018**, _18_, 1944. [CrossRef]
* _[PERSON] et al. (2017)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Kennard-Stone combined with least square support vector machine method for noncontact discriminating human blood species. _Infrared Phys. Technol._**2017**, _86_, 116-119. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Identification of Rice Varieties and Transgenic Characteristics Based on Near-Infrared Diffuse Reflectance Spectroscopy and Chemometrics. _Molecules_**2019**, _24_, 4568. [CrossRef]
* _[PERSON] et al.