Fast Discrimination of Nanfeng Mandarin Varieties Based on Near Infrared Spectroscopy Technique

被引：0
|
作者：
Zhou, Huamao [2 ]
Zhou, Chao [2 ]
Rao, Honghui [2 ]
Liu, Yande [1 ,3 ]
机构：
[1] E China Jiaotong Univ, Sch Mechtron Engn, Nanchang 330013, Peoples R China
[2] Jiangxi Agr Univ, Coll Engn, Nanchang 330045, Peoples R China
[3] East China Jiaotong Univ, Sch Mech Engn, Nanchang 330013, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 3 | 2011年 / 346卷
关键词：
Vis/NIR spectroscopy; Nafeng mandarin fruit; varieties; SIMCA; BPNN;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
The potential of visible and near infrared (Vis/NIR) spectroscopy was investigated for discriminating the varieties of Nanfeng mandarin fruit nondestructively. The spectra were collected by a spectrophotometer in the wavelength range of 600-1040 nm. Relationship between the spectra and Nafeng mandarin varieties was established using principal component analysis (PCA), supervised independent modeling of class analogy (SIMCA) and backward propagation neural network (BPNN). By comparison the best result was obtained by BPNN with recognition rate of 97.5%. The results suggested Vis/NIR spectroscopy combination with BPNN was a new approach to discriminate of the varieties of Nanfeng mandarin fruit nondestructively.
引用
收藏
页码：613 / +
页数：2
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