Agricultural Engineer, Ph.D.

USDA-ARS Food Safety Laboratory
10300 Baltimore Avenue
Building 303, BARC-East
Beltsville, MD 20705-2350 USA

Phone: 301-504-8450 ext 232
Fax: 301-504-9466

Research Area at FSL
Machine vision technology applied to automated food safety inspection.

Curriculum Vitae
View Dr. Yang's curriculum vitae in PDF format.

ISL Publications (2003-2007)
For a complete list of Dr. Yang's publications including previous work (1995-2006), please see his curriculum vitae.

For selected publications, click on the icon to view the full article in PDF format.

1. Yang, C.-C., Chao, K., and Chen, Y.R. 2003. Development of multispectral imaging processing algorithms for food safety inspection on poultry carcasses. American Society of Agricultural Engineers. ASAE Paper No. 03-3054.
2. Yang, C.-C., Chao, K., Chen, Y.R., and Early, H.L. 2005. Systemically diseased chicken identification using multispectral images and region of interest analysis. Computers and Electronics in Agriculture. 49(2):255-271.
3. Yang, C.-C., Chao, K., and Chen, Y.R. 2005. Development of multispectral imaging processing algorithms for identification of wholesome, septicemic, and inflammatory process chickens. Journal of Food Engineering. 69(2):225-234.
4. Chao, K., Yang, C.-C., Chen, Y.R., Chan, D.E., and Kim, M.S. 2006. Poultry carcass inspection by a fast line-scan imaging system: results from in-plant testing. In: Chen, Y.R., Meyer, G.E., Tu, S.I., editors. Proceedings of SPIE, Volume 6381. Optics for Natural Resources, Agriculture, and Foods, October 3, 2006, Boston, Massachusetts. 6381:63810V.
5. Kim, M.S., Cho, B.K., Yang, C.-C., Chao, K., Lefcourt, A.M., and Chen, Y.R. 2006. Hyperspectral reflectance and fluorescence line-scan imaging system for online detection of fecal contamination on apples. In: Y.R. Chen, G.E. Meyer, and S.I. Tu, editors. Proceedings of SPIE: Optics for Natural Resources, Agriculture, and Foods, 6381:63810P.
6. Liu, Y., Chao, K., Chen, Y.R., Kim, M.S., Nou, X., Chan, D.E., and Yang, C.-C. 2006. Comparison of visible and near infrared reflectance spectroscopy for the detection of faeces/ingesta contaminants for sanitation verification at slaughter plants. Journal of Near Infrared Spectroscopy. 14(5):325-331.
7. Liu, Y., Chao, K., Chen, Y.R., Kim, M.S., Nou, X., Chan, D.E., and Yang, C.-C. 2006. Detection of fecal/ingesta contaminants at slaughter plants from a number of characteristic visible and near-infrared bands. In: Chen, Y.R., Meyer, G.E., Tu, S.I., editors. Proceedings of SPIE, Volume 6381. Optics for Natural Resources, Agriculture, and Foods, October 3, 2006, Boston, Massachusetts. 6381:63810U.
8. Yang, C.-C., Chan, D.E., Chao, K., Chen, Y.R., Kim, M.S. 2006. Development of online line-scan imaging system for chicken inspection and differentiation. In: Chen, Y.R., Meyer, G.E., Tu, S.I., editors. Proceedings of SPIE, Volume 6381. Optics for Natural Resources, Agriculture, and Foods, October 3, 2006, Boston, Massachusetts. 6381:63810Y.
9. Yang, C.-C., Chao, K., Chen, Y.R., Kim, M.S., and Chan, D.E. 2006. Development of fuzzy logic based differentiation algorithm and fast line-scan imaging system for chicken inspection. Biosystems Engineering. 95(4):483-496.
10. Yang, C.-C., Chao, K., Chen, Y.R., Kim, M.S., and Early, H.L. 2006. Simple multispectral image analysis for systemically diseased chicken identification. Transactions of the ASABE. 49(1):245-257.
11. Chao, K., Chen, Y.R., Ding, F., Yang, C.-C., and Chan, D.E. 2007. Development of two-band color-mixing technique for identification of broiler carcass conditions. Journal of Food Engineering. 80(1):276-283.
12. Chao, K., Yang, C.-C., Chen, Y.R., Kim, M.S., and Chan, D.E. 2007. Fast line-scan imaging system for broiler carcass inspection. Sensing and Instrumentation for Food Quality and Safety. 1:62-71.
13. Kim, M.S., Chen, Y.R., Cho, B.K., Chao, K., Yang, C.-C., Lefcourt, A.M., and Chan, D. 2007. Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples. Sensing and Instrumentation for Food Quality and Safety. 1(3):151-159.

The free Adobe Acrobat Reader® is needed to view the PDF files on this page.