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基于高光譜成像技術(shù)的殘留氯吡脲獼猴桃無損識別
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青島農(nóng)業(yè)大學(xué)高層次人才基金項目(6631115045)


Non-destructive Identification of Kiwifruit with Forchlorfenuron Residue Based on Near Infrared Hyperspectral Imaging Technology
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    摘要:

    利用近紅外高光譜技術(shù),依據(jù)施藥獼猴桃和空白獼猴桃中氯吡脲殘留量不同、有機成分含量不同,進行了2類獼猴桃的無損識別技術(shù)研究。首先進行2類獼猴桃的田間試驗,獲得具有代表性的獼猴桃樣品,然后通過近紅外高光譜設(shè)備掃描樣品,獲得每個樣品的近紅外高光譜圖像并輸出每個樣品平均反射光譜值,最后進行2類獼猴桃的無損識別。結(jié)果表明,PCA—LDA(主成分分析—線性判別分析)和支持向量機(SVM)2個數(shù)學(xué)模型的正確識別率都是94.4%;施藥樣品氯吡脲的殘留量為0.03mg/kg,空白樣品的氯吡脲殘留量為0mg/kg;總糖、總酚、維生素C、可滴定酸、17種氨基酸、8種微量元素等有機成分含量存在一定的差異。因此,采用近紅外高光譜技術(shù)進行植物生長調(diào)節(jié)劑獼猴桃的無損識別是可行的。

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    Based on the difference of forchlorfenuron residue and organic component, non-destructive identification method of treated and control kiwifruits was studied using hyperspectral imaging system. Firstly, the representative samples were got by field experiment, and the hyperspectral image was got. The instrument parameters of hyperspectral image were as follows: exposure time 10ms, scanning speed 20mm/s and object distance 20mm/s. Secondly, the spectral regions of 1040~1120nm and 1335~1500nm were selected, totally 116 wave bands were produced, and the average hyperspectral value of each sample was calculated. Finally, all data of hyperspectral image were calculated by Matlab, and the non-destructive identification method of two types of kiwifruit was established. The residue of forchlorfenuron was determined by HPLC, organic component in kiwifruit was analyzed according to the national standard. The results showed that correct identification rate of PCA—LDA and support vector machine (SVM) mathematical models was 94.4%; forchlorfenuron residue level of treated kiwifruit and control kiwifruit were 0.03mg/kg and 0mg/kg, respectively; the content of organic components were different, such as total sugar, total phenols, vitamin C, titratable acid,17 kinds of amino acids and eight trace elements. Therefore, the high spectrum technology was an efficient method for non-destructive identification of PGR (plant growth regulation) kiwifruit.

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高振紅,張志偉,霍迎秋,岳田利.基于高光譜成像技術(shù)的殘留氯吡脲獼猴桃無損識別[J].農(nóng)業(yè)機械學(xué)報,2016,47(6):222-227. Gao Zhenhong, Zhang Zhiwei, Huo Yingqiu, Yue Tianli. Non-destructive Identification of Kiwifruit with Forchlorfenuron Residue Based on Near Infrared Hyperspectral Imaging Technology[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(6):222-227.

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  • 收稿日期:2015-12-07
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  • 在線發(fā)布日期: 2016-06-10
  • 出版日期: 2016-06-10