Tian Xi, Li Jiangbo, Wang Qingyan, Fan Shuxiang, Huang Wenqian
Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China.
Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China.
Food Chem. 2018 Jan 15;239:1055-1063. doi: 10.1016/j.foodchem.2017.07.045. Epub 2017 Jul 11.
Hyperspectral imaging technology was used to investigate the effect of various peel colors on soluble solids content (SSC) prediction model and build a SSC model insensitive to the color distribution of apple peel. The SSC and peel pigments were measured, effective wavelengths (EWs) of SSC and pigments were selected from the acquired hyperspectral images of the intact and peeled apple samples, respectively. The effect of pigments on the SSC prediction was studied and optimal SSC EWs were selected from the peel-flesh layers spectra after removing the chlorophyll and anthocyanin EWs. Then, the optimal bi-layer model for SSC prediction was built based on the finally selected optimal SSC EWs. Results showed that the correlation coefficient of prediction, root mean square error of prediction and selected bands of the bi-layer model were 0.9560, 0.2528 and 41, respectively, which will be more acceptable for future online SSC prediction of various colors of apple.
利用高光谱成像技术研究了不同果皮颜色对可溶性固形物含量（SSC）预测模型的影响，并建立了对苹果皮颜色分布不敏感的SSC模型。测定了SSC和果皮色素，分别从完整和去皮苹果样品的高光谱图像中选取了SSC和色素的有效波长（EWs）。研究了色素对SSC预测的影响，并在去除叶绿素和花青素EWs后，从果皮-果肉层光谱中选取了最佳的SSC EWs。然后，基于最终选定的最佳SSC EWs建立了用于SSC预测的最佳双层模型。结果表明，双层模型的预测相关系数、预测均方根误差和选定波段分别为0.9560、0.2528和41，这对于未来不同颜色苹果的在线SSC预测将更具可接受性。
