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Proceedings Paper

Hyperspectral reflectance and fluorescence line-scan imaging system for online detection of fecal contamination on apples
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Paper Abstract

We have developed nondestructive opto-electronic imaging techniques for rapid assessment of safety and wholesomeness of foods. A recently developed fast hyperspectral line-scan imaging system integrated with a commercial apple-sorting machine was evaluated for rapid detection of animal feces matter on apples. Apples obtained from a local orchard were artificially contaminated with cow feces. For the online trial, hyperspectral images with 60 spectral channels, reflectance in the visible to near infrared regions and fluorescence emissions with UV-A excitation, were acquired from apples moving at a processing sorting-line speed of three apples per second. Reflectance and fluorescence imaging required a passive light source, and each method used independent continuous wave (CW) light sources. In this paper, integration of the hyperspectral imaging system with the commercial applesorting machine and preliminary results for detection of fecal contamination on apples, mainly based on the fluorescence method, are presented.

Paper Details

Date Published: 23 October 2006
PDF: 8 pages
Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810P (23 October 2006); doi: 10.1117/12.686674
Show Author Affiliations
Moon S. Kim, USDA Agricultural Research Service (United States)
Byoung-Kwan Cho, Chungnam National Univ. (South Korea)
Chun-Chieh Yang, Univ. of Kentucky (United States)
Kaunglin Chao, USDA Agricultural Research Service (United States)
Alan M. Lefcourt, USDA Agricultural Research Service (United States)
Yud-Ren Chen, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 6381:
Optics for Natural Resources, Agriculture, and Foods
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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