Hyperspectral reflectance imaging combined with chemometrics and successive projections algorithm for chilling injury classification in peaches
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- 作者：Ye Sun ; Xinzhe Gu ; Ke Sun ; Haijiang Hu ; Miao Xu ; Zhengjie Wang ; Kang Tu ; Leiqing Pan ; pan_leiqing@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Hyperspectral imaging ; Peaches ; Chilling injury ; Classification ; Map
- 刊名：LWT - Food Science and Technology
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：75
- 期：Complete
- 页码：557-564
- 全文大小：731 K
文摘
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Hyperspectral imaging for chilling injury classification of peaches using four classifiers.
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Three classification schemes of chilling injury were studied and compared.
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Six optimal wavelengths were selected by SPA for chilling injury detection.
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SPA-ANN models presented highest classification accuracy for chilled peach.
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The map was built to visualize peach chilling injury distribution using pseudo colour.