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Proceedings Paper

The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes
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Paper Abstract

In this research, a multispectral algorithm derived from hyperspectral line-scan fluorescence imaging under violet LED excitation was developed for the detection of frass contamination on mature tomatoes. The algorithm utilized the fluorescence intensities at two wavebands, 664 nm and 690 nm, for computation of the simple ratio function for effective detection of frass contamination. The contamination spots were created on the tomato surfaces using four concentrations of aqueous frass dilutions. The algorithms could detect more than 99% of the 0.2 g/ml and 0.1 g/ml frass contamination spots and successfully differentiated these spots from clean tomato surfaces. The results demonstrated that the simple multispectral fluorescence imaging algorithms based on violet LED excitation can be appropriate to detect frass on tomatoes in high-speed post-harvest processing lines.

Paper Details

Date Published: 4 May 2012
PDF: 7 pages
Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 836908 (4 May 2012); doi: 10.1117/12.918427
Show Author Affiliations
Chun-Chieh Yang, USDA Agricultural Research Service (United States)
Moon S. Kim, USDA Agricultural Research Service (United States)
Pat Millner, USDA Agricultural Research Service (United States)
Kuanglin Chao, USDA Agricultural Research Service (United States)
Diane E. Chan, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 8369:
Sensing for Agriculture and Food Quality and Safety IV
Moon S. Kim; Shu-I Tu; Kuanglin Chao, Editor(s)

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