Visible to SWIR hyperspectral imaging for produce safety and quality evaluation

Author:

Kim Moon S.,Delwiche Stephen R.,Chao Kuanglin,Garrido-Varo Ana,Pérez-Marín Dolores,Lefcourt Alan M.,Chan Diane E.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering

Reference25 articles.

1. M.S. Kim, Y.R. Chen, P.M. Mehl, Hyperspectral reflectance and fluorescence imaging system for food quality and safety. Trans. ASAE 44, 721–729 (2001)

2. A.A. Gowen, C.P. O’Donnell, P.J. Cullen, G. Downey, J.M. Frias, Hyperspectral imaging—an emerging process analytical tool for food quality and safety control. Trends Food Sci. Technol. 18, 590–598 (2007)

3. M.S. Kim, A.M. Lefcourt, Y.R. Chen, I. Kim, D.E. Chan, K. Chao, Multispectral detection of fecal contamination on apples based on hyperspectral imagery-part I: applications of visible and near-infrared reflectance imaging. Trans. ASAE 45, 2027–2037 (2002)

4. M.S. Kim, A.M. Lefcourt, Y.R. Chen, I. Kim, K. Chao, D.E. Chan, Multispectral detection of fecal contamination on apples based on hyperspectral imagery-part II: application of fluorescence imaging. Trans. ASAE 45, 2039–2047 (2002)

5. P.M. Mehl, K. Chao, M.S. Kim, Y.R. Chen, Detection of contamination on selected apple cultivars using reflectance hyperspectral and multispectral analysis. Appl. Eng. Agric. 18, 219–226 (2002)

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