Published December 1, 2018
| Version v1
Journal article
Qualitative Identification of Pesticide Residues in Pakchoi Based on Near Infrared Spectroscopy
Creators
- 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/466/1/012064Additional details
Identifiers
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