Spectroscopy and Spectral Analysis, Volume. 29, Issue 6, 1611(2009)

Advance in Nondestructive Detection of Fruit Internal Quality Based on Hyperspectral Imaging

MA Ben-xue1,2、*, YING Yi-bin1, RAO Xiu-qin1, and GUI Jiang-sheng1
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  • 1[in Chinese]
  • 2[in Chinese]
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    The present paper reviews the development in the field of hyperspectral imaging technology for nondestructive detection of fruit internal quality in recent years up to the year 2007. With the increasing maturity of hyperspectral imaging technology, decline of cost for its hardware and software, and improvement in hyperspectral image data processing algorithms, hyperspectral imaging technology for fruit quality nondestructive detection has become a hot research topic. In order to track the latest research developments at home and abroad, the fruit internal quality (maturity, firmness, soluble solid content, water content) detection with hyperspectral imaging was reviewed, which would provide reference for Chinese researchers.

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    MA Ben-xue, YING Yi-bin, RAO Xiu-qin, GUI Jiang-sheng. Advance in Nondestructive Detection of Fruit Internal Quality Based on Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2009, 29(6): 1611

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    Paper Information

    Received: Mar. 8, 2008

    Accepted: --

    Published Online: May. 26, 2010

    The Author Email: Ben-xue MA (ybying@zju.edu.cn)

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