Identification of Pesticide Residues of Lettuce Leaves Based on LVQ Neural Network

Abstract:

In order to ensure the healthy safety of edible lettuce, an identification way of pesticide residues of lettuce leaves is studied. Soilless cultivation of lettuce sample was adopted. At tillering stage, various levels of fenvalerate were sprayed to different groups of lettuce, lettuce leaves accompanied by a collection of pesticide residues and lettuce leaves not sprayed pesticide residues were collected, Hyperspectral Information of each blade leaf were collected and lettuce leaves sample spectral library was set up. Randomly 90 samples were selected as training samples, and the classification models based on BP neural network and LVQ neural network were set up. The remaining samples were taken to forecast classification test. Results showed that, the prediction identification correct rate of LVQ neural network model is 98.3607%. The algorithm is suitable for pesticide residues diagnosis of lettuce leaves.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2059-2063
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2059
• Online since: September 2013
• Authors: Jun Sun, Liang Dong, Xia Ming Jin, Min Fang, Mei Xia Zhang, Wen Xia Lv
• Keywords: Lettuce Leaf, LVQ Neural Network, Pesticide Residue

References

[1] Sybutga B. Mathew, Ajai K. Pillai, Vinay K. Gupta. A rapid spectrophotometric assay of some organophosphorus pesticide residues in vegetable samples. Spectrochimica Acta Part A 67(2007): 1430-1432.

DOI: 10.1016/j.saa.2006.11.020

[2] Xishan Guo, Xueyin Zhang, Qiang Cai, etal. Developing a novel sensitive visual screening card for rapid detection of pesticide residues in food. Food Control, 30(2013): 15-23.

DOI: 10.1016/j.foodcont.2012.07.015

[3] Lian-KuetChai , Nur-Dzaina Zaidel , Hans Christian Brunn Hansen. A rapid multi-residue method for the determination of pesticide residues in choi sum, yardlong beans and aubergines. Food Chemistry. 131(2012)611-616.

DOI: 10.1016/j.foodchem.2011.09.037

[4] Y. Liang,W. Wang,Y. Shen, etal. Effects of home preparation on organophosphorus pesticide residues in raw cucumber. Food Chemistry 133(2012): 636-640.

DOI: 10.1016/j.foodchem.2012.01.016

[5] Wu Zexin, Li Xiaoyu, Wang Wei, etal. Nondestructive evaluation of pesticide residual in tomatos with near infrared diffuce reflection spectrum. Hubei Agricultural Sciences. 2010, 49(4): 961-963.

[6] Liu Cuiling，Zhengguang，Wu Jingzhu，etal. Determination of pesticide residue in vegetable by near infrared spectroscopy. China Brewing. 2009，211（10）：138-140.

[7] Shen Fei, Yan Zhanke, Ye Zunzhong, etal. Application of NearInfrared Spectroscopy to detection of pesticide phoxim residues. Spectroscopy and Spectral Analysis. 2009，29（9）：2421-2424.

[8] Luo Liang, Shi Xiaohong, Xu Jin. Prediction of disulfide bonding in protein structure based on LVQ neural network method. Journal of System Simulation. 2007, 19（9）：2077-(2079).

[9] Wang Lu, Zhang Lei, Zhou Yanjun, etal. Computer aided plant species identification based on LVQ neural network. Journal of Jilin University. 2007, 19（9）：2077-(2079).