Study of Pesticide Contaminated Navel Orange Recognition Using near Infrared Spectroscopy

Abstract:

Based on Support Vector Machine (SVM) and genetic algorithm (GA), this paper intends to search for the characteristic spectral ranges and wavelengths of near infrared spectroscopy of navel oranges contaminated by different pesticides, and set up recognition models. The pesticides in the experiment were Lannate®L insecticide, fenvalerate and omethoate, and three different concentrations were given to each pesticide. Preparing ten groups of navel oranges, each group was sprayed with a different pesticide and the 10th group without pesticide spraying was used for comparison. Searching the whole spectral range through GA, 5 best spectral ranges (165 wavelengths) were obtained and the recognition rate reached 98.86%. Then based on the chosen spectral ranges, 85 feature wavelengths were extracted with continual GA-SVM optimization, and the recognition rate was 99.14%. Experiment results showed that the application of SVM combining with GA can not only improve recognition accuracy, but also simplify the model effectively

• Periodical: Advanced Materials Research (Volume 186)
• Pages: 121-125
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.186.121
• Online since: January 2011
• Authors: Long Xue, Jing Li, Mu Hua Liu, Xiao Wang, Chun Sheng Luo
• Keywords: Food Safety, Navel Orange, Near Infrared Spectroscopy (NIRS), Nondestructive Detection, Pesticide

References

[1] Jiewen ZHAO, Haidong ZHANG and Muhua LIU: Acta Optica Sinica Vol. 26 (2006), p.136.

[2] L. Jing, X. Long, L. Muhua: Transactions of the CSAE Vol. 26 (2010), p.366.

[3] J. Li, L. xue, M. Liu: Acta Agriculturae Universitatis Jiangxiensis Vol. 32 (2010), p.723.

[4] Y. WANG, L. CUI, D. WANG: Spectroscopy and Spectral Analysis Vol. 26 (2006), p. (2085).

[5] S. Saranwong and S. Kawano: J. Near Infrared Spectrosc Vol. 15 (2007), p.227.

[6] S. Saranwong and S. Kawano: J. Near Infrared Spectrosc Vol. 13 (2005), p.169.

[7] S. Armenta: J. Near Infrared Spectrosc Vol. 13(2005), p.161.

[8] L. Jing, X. Long, L. Muhua: Acta Optica Sinica Vol. 29(2009), p.159.

[9] Peng BAI, Juanzao JI et al: Spectroscopy and Spectral Analysis Vol. 28 (2008), p.2278.

[10] Xin AN, Shou XU: Spectroscopy and Spectral Analysis Vol. 29 (2009), p.127.

[11] Wanzhen LU: Modern near infrared spectroscopy analytical technology (China Petrochemical Press, China 2006).

[12] Olivieri AC, Goicoechea HC and Inon FA: Chemom Intell Lab Syst Vol. 73 (2004), p.189.

[13] R. Leardi and L. N«rgaard: J. Chemometrics Vol. 18 (2004), p.486.