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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 8, Iss. 11 — Nov. 1, 2010
  • pp: 1050–1052

Hyperspectral imaging technology for determination of dichlorvos residue on the surface of navel orange

Jing Li, Long Xue, Muhua Liu, Xiao Wang, and Chunsheng Luo  »View Author Affiliations

Chinese Optics Letters, Vol. 8, Issue 11, pp. 1050-1052 (2010)

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A hyperspectral imaging system is developed to detect dichlorvos residue on the surface of navel orange. After acquiring hyperspectral images of 400 navel oranges, the actual content of dichlorvos residue is measured by gas chromatography. Optimal wavelengths are extracted using the regression coefficients of partial least squares (PLS), and a PLS model with 12 factors is established. In the prediction set of 0.2282-11.652-mg/kg pesticide residue, the correlation coefficient and the root mean standard error are 0.8320 and 1.3416, respectively. The hyperspectral imaging technology can meet the requirement of online fast nondestructive detection.

© 2010 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(300.6490) Spectroscopy : Spectroscopy, surface
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

Jing Li, Long Xue, Muhua Liu, Xiao Wang, and Chunsheng Luo, "Hyperspectral imaging technology for determination of dichlorvos residue on the surface of navel orange," Chin. Opt. Lett. 8, 1050-1052 (2010)

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