农业机械学报2011，Vol.42Issue(5)：178-182,141,6.
黄瓜叶片叶绿素含量近红外光谱无损检测
NIR Spectra in Non-invasive Measurement of Cucumber Leaf Chlorophylls Content
摘要
Abstract
To improve and simplify the prediction model of chlorophylls content of cucumber leaves, synergy interval partial least squares ( SiPLS) and net analyte signal ( NAS) were combined to search for optimized informative spectral wavelengths about chlorophylls content from NIR spectra of cucumber leaves, then spectral model was developed on the basis of chlorophylls contents. One hundred and ten cucumber leaves were selected to collect NIR spectra and chlorophylls content according to chemical analysis. The spectra were preprocessed by SNV method and divided into 29 intervals, among which 4 subsets, I. E. No 3 , 4, 5 , 15 were selected by SiPLS. Then NAS was used to characterize the net signals of chlorophyll from cucumber leaf spectra which were used for regression variables of NAS model. The NAS calibration model was obtained with the correlation coefficient Rc of 0. 947 2, root mean square error of calibration of 0. 079 5 mg/g , the prediction coefficient Rp of 0. 925 0 and root mean square error of prediction of 0. 090 6 mg/g. It proves that SiPLS-NAS could determine optimal variables in NIR spectra and improve the accuracy of model.关键词
黄瓜叶片/叶绿素/无损检测/净分析物法/联合区间偏最小二乘法/近红外光谱Key words
Cucumber leaf/ Chlorophylls/ Non-invasive measurement/ Net analyte signal/ Synergy interval partial least squares/ Near infrared spectra分类
农业科技引用本文复制引用
石吉勇,邹小波,赵杰文,毛罕平,王开亮,陈正伟..黄瓜叶片叶绿素含量近红外光谱无损检测[J].农业机械学报,2011,42(5):178-182,141,6.基金项目
国家高技术研究发展计划(863计划)资助项目(2008AA102208)、国家自然科学基金资助项目(60901079)和江苏省普通高校研究生科研创新计划资助项目(CX_10B 277Z) （863计划）
