title: Preliminary study on the application of near infrared spectroscopy and pattern recognition methods to classify different types of apple samples.
abstract: In this paper, near infrared (NIR) spectroscopy combined with pattern recognition methods was used in an attempt to classify different types of apple samples. Three pattern recognition methods such as K-nearest neighbour (KNN), partial least-squares discriminant analysis (PLSDA) and moving window partial least-squares discriminant analysis (MWPLSDA) were used to classify apple samples of different geographical origins, grades and varieties. The result indicates that MWPLSDA is superior to these two conventional pattern recognition methods. Because MWPLSDA method can select narrow but informative wavelength intervals to reconstruct an efficacious classification model with high predicting accuracy. In conclusion, MWPLSDA coupled with near-infrared fibre-optic technology is proved to be an effective method for fruit classification.
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Weiqi
authors.initials: W
authors.lastname: Luo
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China. Electronic address: shuangyanhuan@yahoo.com.cn.
authors.forename: Shuangyan
authors.initials: S
authors.lastname: Huan
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Haiyan
authors.initials: H
authors.lastname: Fu
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Guoli
authors.initials: G
authors.lastname: Wen
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Hanwen
authors.initials: H
authors.lastname: Cheng
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Jingliang
authors.initials: J
authors.lastname: Zhou
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Hailong
authors.initials: H
authors.lastname: Wu
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Guoli
authors.initials: G
authors.lastname: Shen
authors.affiliation: State Key Laboratory of Chemo/Biosensing & Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
authors.forename: Ruqin
authors.initials: R
authors.lastname: Yu
keywords: Apple; MWPLSDA; Near-infrared fibre-optic technology; Pattern recognition