Authentication of Mango Varieties Using Near-Infrared Spectroscopy

被引：16

作者：

Jha S.N. ^{[1
]}

Jaiswal P. ^{[1
]}

Narsaiah K. ^{[1
]}

Kumar R. ^{[2
]}

Sharma R. ^{[1
]}

Gupta M. ^{[1
]}

Bhardwaj R. ^{[1
]}

Singh A.K. ^{[1
]}

机构：

[1] Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering ands Technology (CIPHET), Ludhiana

[2] Horticulture Crop Processing Division, Central Institute of Postharvest Engineering ands Technology (CIPHET), Ludhiana

来源：

Agricultural Research | 2013年 / 2卷 / 3期

关键词：

Characteristic variables; Classification; Cultivars; Discriminate analysis; Pre-processing;

D O I：

10.1007/s40003-013-0068-4

中图分类号：

学科分类号：

摘要：

Mango cultivars are presently identified phenotypically. In the present study, near-infrared spectroscopy in the wavelength range of 1,200-2,200 nm, in combination with chemometrics was evaluated for the purpose. Principal component analysis and partial least square (PLS) discriminate analysis were applied using characteristic variables as 0 and 1 for cv Alphonso and Banganapalli, respectively, in one group and for Dasheri and Malda, respectively, in the other group. PLS was carried out with and without pre-processing of spectral data. Wavelength range of 1,600-1,674 nm was found to be suitable for the classification of Alphonso and Banganapalli after detrending of data, while Dasheri and Malda could be classified in the wavelength range 1,200-2,200 nm after computing Norris-Gap derivative. Alphonso-Banganapalli could be differentiated from each other with 99 % accuracy, whereas, accuracy for Dasheri and Malda was about 94 at 5 % level of significance. © 2013 NAAS (National Academy of Agricultural Sciences).

引用

页码：229 / 235

页数：6

共 26 条

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