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苹果梨单果重的近红外无损检测研究
引用本文:李鑫,金兰淑,林国林,苗立新. 苹果梨单果重的近红外无损检测研究[J]. 安徽农业科学, 2008, 36(4): 1297-1298
作者姓名:李鑫  金兰淑  林国林  苗立新
作者单位:沈阳农业大学土地与环境学院,辽宁沈阳,110161;辽宁省盐碱地利用研究所,辽宁盘锦,124010
摘    要:[目的]探究应用近红外技术进行相关性状分析。[方法]以苹果梨为试材,利用近红外透射光谱仪扫描完整苹果梨的短波近红外透射光谱,光谱经预处理后,采用偏最小二乘法(PLSR)建立单果重的数学模型。[结果]光谱经归一化处理后建立的模型稳定性最好,相关参数为:SEP=18.01,RC=0.70,RMSEC=18.68,PC=5。[结论]利用近红外技术可以预测苹果梨的单果重,若增加建模集样本数,模型的相关系数可能有所升高。

关 键 词:近红外  苹果梨  单果重  无损检测
文章编号:0517-6611(2008)04-01297-02
收稿时间:2007-06-28
修稿时间:2007-06-28

Research on the Near-infrared Nondestructive Detection on Single Fruit Weight of Apple-pear
LI Xin et al. Research on the Near-infrared Nondestructive Detection on Single Fruit Weight of Apple-pear[J]. Journal of Anhui Agricultural Sciences, 2008, 36(4): 1297-1298
Authors:LI Xin et al
Abstract:[Objective] The aim was to explore applying near-infrared technology in the analysis of relative characters.[Method] With apple-pear as tested material,the near-infrared transmission spectrometer was used to scan short wave near-infrared transmission spectrum of whole apple-pear and the spectrum was pretreated,and then the mathematic model of single fruit weight was established by partial least square method(PLSR).[Result] After the spectrum was standardized,the stability of established model was best.The relative parameters were as follows: SEP=18.01,RC=0.70,RMSEC=18.68 and PC=5.[Conclusion] The single fruit weight of apple-pear could be predicted by near-infrared technology.If the sample number in modeling set is increased,the correlation coefficient of model may have some increase.
Keywords:Near-infrared  Apple-pear  Single fruit weight  Nondestructive detection
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