Published December 1, 2018 | Version v1
Journal article

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

  • 1. School of Physics and Electronic Engineering, Leshan Normal Uniersity, Leshan 614000 (China)

Description

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/466/1/012064

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
466
Journal Issue
1
Journal Page Range
[4 p.]
ISSN
1757-899X

Conference

Title
2. Annual International Conference on Cloud Technology and Communication Engineering
Dates
17-19 Aug 2018
Place
Nanjing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52107374
Subject category
S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ABSORPTION SPECTROSCOPY; CLASSIFICATION; CONCENTRATION RATIO; INFRARED SPECTRA; PESTICIDES; PRINCIPAL COMPONENT ANALYSIS
Descriptors DEC
DIMENSIONLESS NUMBERS; MATHEMATICS; SPECTRA; SPECTROSCOPY; STATISTICS