Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Yud-Ren Chen"'
Publikováno v:
Sensing and Instrumentation for Food Quality and Safety. 3:100-107
This study reports the feasibility of citrate-reduced colloidal silver surface-enhanced Raman scattering (SERS) for differentiating three important food borne pathogens, E. coli, Listeria, and Salmonella. FT-Raman and SERS spectra of both silver coll
Publikováno v:
Acta Horticulturae. :385-390
Publikováno v:
Applied Engineering in Agriculture. 24:123-129
Development of machine vision systems to inspect apples for defect and contamination problems has been stalled due to lack of a commercially-viable method for appropriately orienting fruit for imaging. We recently discovered that apples could be orie
Autor:
Byoung-Kwan Cho, Moon S. Kim, Chun-Chieh Yang, Diane E. Chan, Yud-Ren Chen, Kuanglin Chao, Alan M. Lefcourt
Publikováno v:
Sensing and Instrumentation for Food Quality and Safety. 1:151-159
We have recently developed a rapid online line-scan imaging system capable of both hyperspectral Vis/NIR reflectance and fluorescence in the Vis with UV-A excitation. The hyperspectral online line-scan system was integrated with a commercial apple-so
Publikováno v:
Journal of Food Engineering. 81:412-418
Hyperspectral reflectance images of two cultivars of apples were acquired after fecal treatments at three different concentrations to explore the potential for the detection of fecal contaminants on apple surfaces. Region of interest (ROI) spectral f
Publikováno v:
Computers and Electronics in Agriculture. 57:177-189
Diluted organic residues, such as feces, ingesta and other biological substances on poultry processing plant equipment surfaces, not easily discernible by human eye, are potential contamination sources for poultry carcasses. Development of sensitive
Publikováno v:
Journal of Food Engineering. 80:276-283
The development of accurate, rapid, and non-invasive inspection technologies are needed to help poultry processors meet food safety regulations and rising consumer demand while increasing productivity and economic competitiveness. This paper reports
Publikováno v:
Sensing and Instrumentation for Food Quality and Safety. 1:62-71
The USDA Agricultural Research Service has developed a fast line-scan imaging system for differentiating wholesome and systemically diseased fresh chickens. The imaging system was used to acquire hyperspectral line-scan images of 250 chicken carcasse
Publikováno v:
Biosystems Engineering. 95:483-496
A fuzzy logic-based algorithm was developed for a hyperspectral line-scan imaging system for differentiation of wholesome and systemically diseased fresh chickens. The hyperspectral imaging system consisted of an electron-multiplying charge-coupled-d
Autor:
Yud-Ren Chen, Moon S. Kim, Kuanglin Chao, Yongliang Liu, Chun-Chieh Yang, Diane E. Chan, Xiangwu Nou
Publikováno v:
Journal of Near Infrared Spectroscopy. 14:325-331
Visible and near infrared (NIR) spectra were acquired to explore the potential for the discrimination of faeces/ingesta (“F/I”) objectives from rubber belt and stainless steel (“RB/SS”) backgrounds by using several wavelengths. Spectral featu