Journal of Biosystems Engineering

  • 제37권4호
  • /
  • Pages.265-270
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  • 2012
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  • 1738-1266(pISSN)
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  • 2234-1862(eISSN)
한국농업기계학회 (Korean Society for Agricultural Machinery)
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Optimal Optical Filters of Fluorescence Excitation and Emission for Poultry Fecal Detection

  • Kim, Tae-Min (Intelligent Robotics Group, NASA Ames Research Center) ;
  • Lee, Hoon-Soo (Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University) ;
  • Kim, Moon-S. (Environmental Microbial and Food Safety Laboratory, Animal and Natural Resources Institute, Agricultural Research Service, United States Department of Agriculture) ;
  • Lee, Wang-Hee (Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University) ;
  • Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University)
  • 투고 : 2012.06.25
  • 심사 : 2012.08.20
  • 발행 : 2012.08.31
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초록

Purpose: An analytic method to design excitation and emission filters of a multispectral fluorescence imaging system is proposed and was demonstrated in an application to poultry fecal inspection Methods: A mathematical model of a multispectral imaging system is proposed and its system parameters, such as excitation and emission filters, were optimally determined by linear discriminant analysis (LDA). An alternating scheme was proposed for numerical implementation. Fluorescence characteristics of organic materials and feces of poultry carcasses are analyzed by LDA to design the optimal excitation and emission filters for poultry fecal inspection. Results: The most appropriate excitation filter was UV-A (about 360 nm) and blue light source (about 460 nm) and band-pass filter was 660-670 nm. The classification accuracy and false positive are 98.4% and 2.5%, respectively. Conclusions: The proposed method is applicable to other agricultural products which are distinguishable by their spectral properties.

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참고문헌

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  9. Lawrence, K. C., W. R. Windham, B. Park and R. J. Buhr. 2001. Hyperspectral imaging system for identification of fecal and ingesta contamination on poultry carcasses. ASAE Annual Meeting.
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피인용 문헌

  1. Identification and Evaluation of Composition in Food Powder Using Point-Scan Raman Spectral Imaging vol.7, pp.12, 2016, https://doi.org/10.3390/app7010001
  2. Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix vol.14, pp.12, 2014, https://doi.org/10.3390/s141121483
  3. Using Hyperspectral Fluorescence Spectra of Deli Commodities to Select Wavelengths for Surveying Deli Food Contact Surfaces vol.40, pp.2, 2015, https://doi.org/10.5307/JBE.2015.40.2.145