Classification of fecal contamination on leafy greens by hyperspectral imaging

Chun-Chieh Yang; Won Jun; Moon S. Kim; Kaunglin Chao; Sukwon Kang; Diane E. Chan; Alan Lefcourt

doi:10.1117/12.851069

26 April 2010 Classification of fecal contamination on leafy greens by hyperspectral imaging

Chun-Chieh Yang, Won Jun, Moon S. Kim, Kaunglin Chao, Sukwon Kang, Diane E. Chan, Alan Lefcourt

Proceedings Volume 7676, Sensing for Agriculture and Food Quality and Safety II; 76760F (2010) https://doi.org/10.1117/12.851069
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This paper reported the development of hyperspectral fluorescence imaging system using ultraviolet-A excitation (320-400 nm) for detection of bovine fecal contaminants on the abaxial and adaxial surfaces of romaine lettuce and baby spinach leaves. Six spots of fecal contamination were applied to each of 40 lettuce and 40 spinach leaves. In this study, the wavebands at 666 nm and 680 nm were selected by the correlation analysis. The two-band ratio, 666 nm / 680 nm, of fluorescence intensity was used to differentiate the contaminated spots from uncontaminated leaf area. The proposed method could accurately detect all of the contaminated spots.

Citation Download Citation

Chun-Chieh Yang, Won Jun, Moon S. Kim, Kaunglin Chao, Sukwon Kang, Diane E. Chan, and Alan Lefcourt "Classification of fecal contamination on leafy greens by hyperspectral imaging", Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760F (26 April 2010); https://doi.org/10.1117/12.851069

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