农机化研究Issue(10)：50-53,57,5.
梨枣糖度无损检测建模分析--基于高光谱成像技术
Nondestructive Testing Modeling Analysis of Sugar Content in Pear Jujube--Based on Hyperspectral Imaging Technique
摘要
Abstract
In Huping jujube for the study.Using the denoising and to base after full spectrum data and extract the 42 approximate coefficient model corresponding PLS and PCR respectively .Results show that:PLS model is built by using approximate coefficient correction set decision coefficient of Rc ( 0 .931 ) and PCR models Rc ( 0 .882 ) , respectively , than with a full spectrum PLS model is built by Rc (0.875) and PCR models Rc (0.858);PLS model calibration set variance RMSEC (0.986)、prediction set variance RMSEP (1.159) and PCR model calibration set variance RM-SEC (1.048)、prediction set variance RMSEP (1.322) compared with the full spectrum PLS model calibration set va-riance RMSEC (0.731)、prediction set variance RMSEP (1.270)and PCR model calibration set variance RMSEC (0.958)、prediction set variance RMSEP (1.361) difference value more close to.Explain application of approximate co-efficient of the model is stable .关键词
梨枣/糖度质量分数/高光谱/近似系数Key words
pear jujube/sugar quality score/hyperspectral image/approximation coefficient分类
农业科技引用本文复制引用
王斌,尹丽华,张淑娟..梨枣糖度无损检测建模分析--基于高光谱成像技术[J].农机化研究,2014,(10):50-53,57,5.基金项目
国家自然科学基金项目（31271973）；山西省自然科学基金项目 （）
