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Online soluble solids content (SSC) assessment of multi-variety tomatoes using Vis/NIRS diffuse transmission

文献类型： 外文期刊

作者： Yang, Yi 1 ; Huang, Wenqian 1 ; Zhao, Chunjiang 1 ; Tian, Xi 1 ; Fan, Shuxiang 1 ; Wang, Qingyan 1 ; Li, Jiangbo 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China; Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing 100097, Peoples R China; Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： Multi-variety; Tomato; Soluble solids content; Online detection; Fruit orientation

期刊名称：INFRARED PHYSICS & TECHNOLOGY （ 影响因子：2.997； 五年影响因子：2.962 ）

ISSN： 1350-4495

年卷期： 2022 年 125 卷

页码：

收录情况： SCI

摘要： This study investigates the potential of the online diffuse transmission Vis/NIRS technology for quantitative soluble solids content (SSC) assessment of multi-variety tomatoes. For every single-variety tomato, the stem -calyx axis horizontal with stem towards (T1 orientation) is verified to be the best detection orientation with the simpler propagation light path or shorter light path distance. Compared to the full wavelength after Savitzky-Golay smoothing (SGS) pretreatment, the partial least squares regression (PLSR) model performance can be further improved by the selected Competitive Adaptive Reweighted Sampling (CARS) key wavelengths. The best CARS-PLSR model performances are Tianci-595 (Rp = 0.85, RMSEp = 0.21), Xianke-No.8 (Rp = 0.87, RMSEp = 0.20), and Yuanwei-No.1 (Rp = 0.87, RMSEp = 0.35), respectively. For multi-variety tomatoes, it is difficult to find a universal SSC prediction method regardless of mutual prediction between different models or mixed models of different tomato varieties. Our results in the present study reveal the potential for online diffuse transmission Vis/NIRS technology as a valuable method for tomato SSC assessment. The potential of key wavelengths in multi-variety tomatoes' universal SSC prediction requires further experimental verification and optimization.

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