Accurate nondestructive prediction of soluble solids content in citrus by near-infrared diffuse reflectance spectroscopy with characteristic variable selection
Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [21A0127]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2019M650187]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31601551]
机构署名：
本校为第一且通讯机构
院系归属：
食品科学技术学院
摘要：
This study employs a near-infrared diffuse reflectance spectroscopy (NIRDRS) system to accurate nondestructive determine citrus soluble solids content (SSC). The penetration experiment results showed that the interference of thick peel is large and NIRDRS light has the ability to penetrate the peel to a certain extent. Partial least squares with different characteristic variable selection methods were used to establish the quantitative model of SSC. The results demonstrated that characteristic variable selection methods can select targeted characteristic variables and improve the accuracy with...
