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

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 back-ward 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.

关键词： Vis/NIR spectroscopy Nafeng mandarin fruit varieties SIMCA BPNN

作者: Huamao Zhou Chao Zhou Honghui Rao Yande Liu

作者单位: College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China School of Mechtronics Engineering, East China Jiaotong University,Nanchang, 330013, P.R. China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 613-619

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）