Dual-Channel Co-Spectroscopy-Based Non-Destructive Detection Method for Fruit Quality and Its Application to Fuji Apples
文献类型： 外文期刊
作者： Liang, Xin 1 ; Jiang, Tian 2 ; Dai, Wanli 3 ; Xu, Sai 1 ;
作者机构： 1.Guangdong Acad Agr Sci, Inst Facil Agr, Guangzhou 510640, Peoples R China
2.South China Agr Univ, Coll Math & Informat, Guangzhou 510642, Peoples R China
3.Zhongkai Univ Agr & Engn, Fac Mech & Elect Engn, Guangzhou 510225, Peoples R China
关键词： fruit; soluble solids content; dual-channel co-spectroscopy; visible/near-infrared spectroscopy; modeling and recognition; quality grading
期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）
ISSN：
年卷期： 2025 年 15 卷 2 期
页码：
收录情况： SCI
摘要： Visible/near-infrared spectroscopy is widely used for non-destructive fruit quality detection, but the high cost of spectrometers (400-1100 nm range) in sorting equipment limits its accessibility. This study proposes a dual-channel co-spectroscopy method to address this issue. Using apples' soluble solids content as the research target, a dual-channel platform was constructed to optimize parameters for full-transmission spectral signal acquisition. Spectral data were collected using dual channels (400-700 nm and 700-1100 nm bands, separated by filters) and a single channel (400-1100 nm range). Preprocessing methods (MSC, SNV, FD, SD, SG) and feature extraction algorithms (CARS, SPA, UVE) were applied, followed by PLSR modeling. The dual-channel method with Raw spectrum + FD + CARS + PLSR achieved optimal results, with R2v = 0.88, RMSEP = 0.39 for the 400-700 nm band, and R2v = 0.94, RMSEP = 0.33 for the 700-1100 nm band. The single-channel method with Raw spectrum + MSC + CARS + PLSR achieved R2v = 0.90, RMSEP = 0.36. These findings validate dual-channel co-spectroscopy as a cost-effective, accurate solution for non-destructive fruit quality detection, providing a practical approach to reduce spectrometer costs and enhance sorting system efficiency.
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