| 基于光谱分析技术的黄瓜与茎叶识别研究 |
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| 引用本文： | Wang HQ,Ji CY,Chen KJ. 基于光谱分析技术的黄瓜与茎叶识别研究[J]. 光谱学与光谱分析, 2011, 31(10): 2834-2838. DOI: 10.3964/j.issn.1000-0593(2011)10-2834-05 |
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| 作者姓名： | Wang HQ Ji CY Chen KJ |
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| 作者单位： | 南京农业大学工学院,江苏省高等学校智能化农业装备重点实验室,江苏南京210031 |
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| 基金项目： | 国家(863计划)项目(2006AA10Z259)资助 |
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| 摘 要： | 为了能够快速实时地识别温室中的黄瓜,研究了黄瓜和其茎叶的近红外反射光谱特性。利用近红外光谱仪在室内共采集138个样本(黄瓜46个,茎46个,叶46个)的反射光谱,进行Savitzky-Golay平滑后,抽取光谱中的108个样本作为校正集,采用偏差权重法选择信息量较大的光谱波段690~950 nm进行研究。在主成分分析(PCA)的基础上,结合马氏距离建立识别模型,剔除了7个异常样本。用剩余的101个样本进行偏最小二乘法建模,对校正集之外的30个样本进行预测。结果显示预测值和实际值的相关性达0.994 1,正确识别率达100%。说明黄瓜、茎和叶的近红外反射光谱特性之间有一定差异,可以用近红外光谱技术进行鉴别,为黄瓜识别提供了一种新的方法和思路。
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| 关 键 词： | 光谱分析 黄瓜识别 主成分分析 偏最小二乘法 马氏距离法 |
Research on identification of cucumber, stem and leaf based on spectrum analysis technology |
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| Wang Hai-Qing,Ji Chang-Ying,Chen Kun-Jie. Research on identification of cucumber, stem and leaf based on spectrum analysis technology[J]. Spectroscopy and Spectral Analysis, 2011, 31(10): 2834-2838. DOI: 10.3964/j.issn.1000-0593(2011)10-2834-05 |
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| Authors: | Wang Hai-Qing Ji Chang-Ying Chen Kun-Jie |
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| Affiliation: | WANG Hai-qing,JI Chang-ying*,CHEN Kun-jieKey Laboratory of Intelligent Agricultural Equipment of Higher Education Institute in Jiangsu Province,College of Engineering,Nanjing Agricultural University,Nanjing 210031,China |
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| Abstract: | To be able to quickly identify the cucumber real time,the present paper studied the near infrared reflectance characteristics of cucumber,stem and leaf.Spectral reflectance of 138 samples(46 cucumbers,46 stems and 46 leaves) was collected using near infrared spectroscopy in the band range of 600~1 099 nm indoor.After Savitzky-Golay smoothing preprocessing,random 108 spectral samples were put forward as calibration set.The weighted deviation method was used for choosing the spectral bands 690~950 nm that inc... |
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| Keywords: | Spectral analysis Cucumber recognition Principal component analysis Partial least squares Mahalanobis distance |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ |
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