Qualitative Identification of Pesticide Residues in Pakchoi Based on Near Infrared Spectroscopy

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Li, Min^1 ; Zhang, Xiaoying^1 ; Jiang, Qiang^1

School of Physics and Electronic Engineering, Leshan Normal Uniersity, Leshan

614000, China^1

关键词: Classification and identifications;    K-nearest neighbor classification;    Linear discriminant analyses (LDA);    Low concentrations;    Non destructive;    Pesticide residue;    Prediction rate;    Qualitative identification;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012064/pdf
DOI  :  10.1088/1757-899X/466/1/012064

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper provided a new method for rapid and nondestructive classification and identification of vegetable residues. Near Infrared Spectroscopy (NIR) of two kinds of pakchoi were collected. One kind of pakchoi was non-pesticide. And the other was low concentration of pesticide residues . In this paper, wavelet soft threshold was used to pre-treat the spectral data. Then Principal Component Analysis (PCA) was run to reduce the dimensionality of spectral data. Next, Linear Discriminant Analysis (LDA) and K-Nearest Neighbor Classification and Recognition (KNN) was run to classify and discriminate. The experimental results show that the prediction rate is 95%. This method is accurate and effective.