文献类型： 外文期刊
作者： Qiu, Wen-Wu 1 ; Su, Wei-Qiang 1 ; Cai, Zhao-Yan 1 ; Dong, Long 1 ; Li, Chang-Bao 2 ; Fang, Wei-Kuan 1 ; Liu, Ye-Qiang 1 ; Wang, Xiao-Mei 1 ; Huang, Zhang-Bao 1 ; Qiao, Jian 3 ;
作者机构： 1.Guangxi Acad Agr Sci, Hort Res Inst, Nanning 530007, Guangxi, Peoples R China
2.Guangxi Acad Agr Sci, Agrofood Sci & Technol Res Inst, Nanning 530007, Guangxi, Peoples R China
3.Chinese Acad Trop Agr Sci, South Subtrop Crop Res Inst, Minist Agr & Rural Affairs, Key Lab Trop Fruit Biol, Zhanjiang 524091, Guangdong, Peoples R China
期刊名称：2020 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND BIOENGINEERING (ICEEB 2020)
ISSN： 2267-1242
年卷期： 2020 年 185 卷
页码：
收录情况： SCI
摘要： Wampee is one of the characteristic fruits in southern China, and its brittle and thin skin can easily be damaged. In this study, principal components analysis (PCA) and minimum noise fraction (MNF) analysis were carried out on the two wampee varieties by hyperspectral imaging technology, and 680nm was determined to be the optimal characteristic wavelength. The accurate recognition rate obtained from PCA algorithm for wampee samples of two varieties was about 83.75%, and that obtained from MNF algorithm for two variety samples was 85%. It was indicated that the wampee damaged can be identified more accurately and effectively by MNF based on hyperspectral imaging technology
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