Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging
By M. Kim, A. Lefcourt, Y. R. Chen, I. Kim, D. Chan, K. Chao. 2002
110 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biotechnology, Food Science
View Paper: https://www.semanticscholar.org/paper/9d20ad2db7f147b232efa85675f1d08d09dd29dc
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In Analytical Chemistry
- Da‐Wen Sun
- M. Kamruzzaman
- Paul Allen
- Gamal ElMasry
- Yaoze Feng
- George E. Meyer
- Hongbin Pu
- Jun‐Hu Cheng
In Food Science
Citations in the corpus
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, methodology): “To accomplish such tasks, it is preferable to employ the hyperspectral imaging system in the transmittance mode where the light source is located below the samples and the detector (spectrograph and the camera) is fixed above the samples.”
- Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, background): “However, as mentioned above, processing images in individual characteristic band is normally insufficient because of the complex background involved as well as the intensity similarity between apple edges and feces in the images (Kim et al., 2002a; Lefcout et al., 2006).”
- Visible/near-infrared hyperspectral imaging for beef tenderness prediction (2008, methodology): “, 2002a), skin tumors in chicken carcasses (Kim et al., 2002b), feces on the surface of poultry carcasses (Park et al.”