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Volumn 25, Issue 6, 2006, Pages 417-420

New approach of discrimination of varieties of juicy peach by near infrared spectra based on PCA and MDA model

Author keywords

Discrimination; Juicy peach; principal component analysis (PCA); Multiple discriminant analysis ( MDA); Visible near infrared spectra

Indexed keywords

DISCRIMINANT ANALYSIS; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; TWO DIMENSIONAL;

EID: 34249291604     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (8)
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  • 3
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    • Discrimination of varieties of apple using near infrared spectra based on principal component analysis and artificial neural network model [J]
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    • Yong, H.E.1    Xiao-Li, L.I.2    Yong-Ni, S.H.A.O.3
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    • YIN Qiu, SU Xiao-Zhou, XU Zhao-An, et al. Analysis on the ultra-spectral characteristics of water environmental parameters about lake[J]. J. Infrared Millim. Waves, 2004,23(6) : 427-435.
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    • Study on lossless discrimination of varieties of yogurt using the Visible/NIR-spectroscopy [J]
    • HE Yong, FENG Shui-Juan, DENG Xun-Fei, et al. Study on lossless discrimination of varieties of yogurt using the Visible/NIR-spectroscopy [J]. Food Research International, 2006,39(6) :645-650.
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    • LI Zhi-Yong, KUANG Gang-Yao, YU Wen-Xian, et al. Algorithm on small target detection base on principal component of hyperspectral imagery [J]. J. Infrared Millim. Waves, 2004,23(4) :286-290.
    • LI Zhi-Yong, KUANG Gang-Yao, YU Wen-Xian, et al. Algorithm on small target detection base on principal component of hyperspectral imagery [J]. J. Infrared Millim. Waves, 2004,23(4) :286-290.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.