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基于主成分分析的蘋果霉心病近紅外漫反射光譜判別
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“十一五”國家科技支撐計劃資助項目(2006BAK02A24)


Discriminant Analysis of Apple Moldy Core Using Near Infrared Diffuse Reflectance Spectroscopy Based on Principal Component Analysis
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    摘要:

    為了探討利用近紅外漫反射光譜技術(shù)判別蘋果霉心病的可行性，將健康蘋果和霉心病蘋果的近紅外光譜經(jīng)不同光譜預(yù)處理方法處理,，將主成分分析提取的主成分作為自變量，對蘋果霉心病進(jìn)行了判別研究。結(jié)果表明,，光譜經(jīng)矢量歸一化處理后提取到的20個主成分建立的Fisher判別函數(shù)判別率最高，性能穩(wěn)定,，建模集正確判別率為89.9%,，對檢驗集正確判別率為87.8%。

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    In order to evaluate the ability of near infrared spectroscopy (NIRS) to detect moldy core in apple fruits, the discriminant efficiency of Fisher function based on several spectra preprocessing methods and principal component analysis (PCA) were investigated. Results showed that the discriminant efficiency of Fisher function established by 20 principal components (PCs) after vector normalization preprocess was the highest, discriminant efficiency for training sample set and test set were 89.9% and 87.8%, respectively.

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李順峰,張麗華,劉興華,李光輝.基于主成分分析的蘋果霉心病近紅外漫反射光譜判別[J].農(nóng)業(yè)機械學(xué)報,2011,42(10):158-161. Li Shunfeng, Zhang Lihua, Liu Xinghua, Li Guanghui. Discriminant Analysis of Apple Moldy Core Using Near Infrared Diffuse Reflectance Spectroscopy Based on Principal Component Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(10):158-161.

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