基于可见/近红外光谱技术的玉露香梨可溶性固形物含量检测
Academic Periodical of Farm Products Processing（2023）
Abstract
为实现玉露香梨的可溶性固形物含量(Soluble solids content,SSC)无损检测,采用可见/近红外光谱技术建立检测模型.采用竞争自适应加权(Competitive Adaptive Reweighted Sampling,CARS)算法和连续投影算法(Successive Projections Algorithm,SPA)提取特征波长,并建立PLSR检测模型.全波段、CARS、CARS-SPA所建PLSR模型均得到好的预测结果,Rp2 为 0.83～0.86,RMSEP为 0.31%～0.34%.CARS-SPA所提取到的变量信息最少,CARS-SPA-PLSR模型得到最优的综合性能,Rp2 和RMSEP分别为 0.83 和 0.34%,为实现玉露香梨SSC在线检测提供了基础.
MoreKey words
soluble solids content,visible/near infrared spectroscopy,Yuluxiangpear,detection
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