Environmental Microbial and Food Safety Laboratory Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
RESEARCH AREAS BY SCIENTIST
Arvind Bhagwat
Kevin Chao
Ronald Fayer
Jeffrey Karns
Moon Kim
Alan Lefcourt
Yaguang Luo
Patricia Millner
Xiangwu Nou
Yakov Pachepsky
Jitu Patel
Mónica Santín-Durán
Manan Sharma
Dan Shelton
Jo Ann Van Kessel
POSTDOCS AND VISITING SCIENTISTS
Andrey Guber
Won Jun
Jung-Woo Kim
Yongliang Liu
Chun-Chieh Yang
 

Chun-Chieh Yang

POST DOC

Agricultural Engineer, Ph.D.

USDA-ARS Environmental Microbial and Food Safety Laboratory
10300 Baltimore Avenue
Building 303 BARC-East, Powder Mill Road
Beltsville, MD 20705-2350 USA

Phone: 301.504.8450 ext 232
Fax: 301.504.9466
www.ars.usda.gov/ba/anri/emfsl/ccyang


Curriculum Vitae Updated March 2009! 
View/download Dr. Yang's resumé as an MS Word document or as a PDF icon  PDF.


Selected publications at ARS Beltsville
For a complete list of Dr. Yang's publications, please see his curriculum vitae.

For selected publications, click on the PDF icon icon to view the full article in PDF format. The free Adobe Acrobat Reader® is needed to view the PDF files on this page.

2003 | 2005 | 2006 | 2007 | 2008 | 2009

2009

  1. Yang, C.-C., Chao, K., and Kim, M.S. 2009. Machine vision system for online inspection of freshly slaughtered chickens. Sensing and Instrumentation for Food Quality and Safety. 3(1):70-80.

2008

  1. Click here to view or download a PDF file for this document Chao, K., Nou, X., Liu, Y., Kim, M.S., Chan, D.E., Yang, C., Patel, J.R., Sharma, M. 2008. Detection of fecal/ingesta contaminants on poultry processing equipment surfaces by visible and near-infrared reflectance spectroscopy. Applied Engineering in Agriculture. 24(11):49-55.
  2. Chao, K., Yang, C., and Kim, M.S. 2008. Line-scan spectral imaging system for online poultry carcass inspection. Journal of Food Process Engineering (accepted 08/28/2008)
  3. Click here to view or download a PDF file for this document Chao, K., Yang, C., Kim, M.S., and Chan, D.E. 2008. High throughput spectral imaging system for wholesomeness inspection of chicken. Applied Engineering in Agriculture 24(4):475-485.
  4. Kim, M.S., Chen, Y.-R., Cho, B., Lefcourt, A.M., Chao, K. and Yang, C.-C. 2008. Online hyperspectral line-scan fluorescence imaging for safety inspection of apples. Acta Horticulturae. 768(1):385-390.

2007

  1. click here to view the PDF of this article 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.
  2. Chao, K., Yang, C.-C., Chen, Y.-R., Kim, M.S., and Chan, D.E. 2007. Hyperspectral-multispectral line-scan imaging system for automated poultry carcass inspection applications for food safety. Poultry Science. 86(11):2450-2460.
  3. Click here to view or download a PDF file for this document 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.
  4. click here to view the PDF of this article 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.

2006

  1. 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.
  2. 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.
  3. click here to view the PDF of this article 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.
  4. 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.
  5. 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.
  6. click here to view the PDF of this article 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.
  7. click here to view the PDF of this article 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.

2005

  1. click here to view the PDF of this article 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.
  2. click here to view the PDF of this article 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.

2003

  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.

USDA-ARS Environmental Microbial and Food Safety Laboratory
Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705
Building 173 BARC-East, Phone 301.504.5607
www.ars.usda.gov/ba/anri/emfsl



     
Last Modified: 03/10/2009
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House