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Jianwei Qin
Jianwei Qin
Research Scientist, USDA Agricultural Research Service (ARS)
Verified email at usda.gov - Homepage
Title
Cited by
Cited by
Year
Hyperspectral and multispectral imaging for evaluating food safety and quality
J Qin, K Chao, MS Kim, R Lu, TF Burks
Journal of Food Engineering 118 (2), 157-171, 2013
4332013
Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique
J Qin, R Lu
Postharvest Biology and Technology 49 (3), 355-365, 2008
4082008
Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
J Qin, TF Burks, MA Ritenour, WG Bonn
Journal of Food Engineering 93 (2), 183-191, 2009
3602009
Classification of grapefruit peel diseases using color texture feature analysis
DG Kim, TF Burks, J Qin, DM Bulanon
International Journal of Agricultural and Biological Engineering 2 (3), 41-50, 2009
1722009
Measurement of the absorption and scattering properties of turbid liquid foods using hyperspectral imaging
J Qin, R Lu
Applied Spectroscopy 61 (4), 388-396, 2007
1642007
Raman chemical imaging system for food safety and quality inspection
J Qin, K Chao, MS Kim
Transactions of the ASABE 53 (6), 1873-1882, 2010
1482010
Investigation of Raman chemical imaging for detection of lycopene changes in tomatoes during postharvest ripening
J Qin, K Chao, MS Kim
Journal of Food Engineering 107 (3), 277-288, 2011
1422011
Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses
X Fu, MS Kim, K Chao, J Qin, J Lim, H Lee, A Garrido-Varo, ...
Journal of Food Engineering 124, 97-104, 2014
1382014
Simultaneous detection of multiple adulterants in dry milk using macro-scale Raman chemical imaging
J Qin, K Chao, MS Kim
Food Chemistry 138 (2), 998-1007, 2013
1342013
Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method
J Qin, TF Burks, MS Kim, K Chao, MA Ritenour
Sensing and Instrumentation for Food Quality and Safety 2, 168-177, 2008
1342008
Evaluation of turmeric powder adulterated with metanil yellow using FT-Raman and FT-IR spectroscopy
S Dhakal, K Chao, W Schmidt, J Qin, MS Kim, D Chan
Foods 5 (2), 36, 2016
1232016
Detection of melamine in milk powders using near-infrared hyperspectral imaging combined with regression coefficient of partial least square regression model
J Lim, G Kim, C Mo, MS Kim, K Chao, J Qin, X Fu, I Baek, BK Cho
Talanta 151, 183-191, 2016
1202016
Nondestructive evaluation of internal maturity of tomatoes using spatially offset Raman spectroscopy
J Qin, K Chao, MS Kim
Postharvest Biology and Technology 71, 21-31, 2012
1192012
Maize and weed classification using color indices with support vector data description in outdoor fields
Y Zheng, Q Zhu, M Huang, Y Guo, J Qin
Computers and electronics in agriculture 141, 215-222, 2017
1182017
Review of seed quality and safety tests using optical sensing technologies
M Huang, Q Wang, Q Zhu, J Qin, G Huang
Seed Science and Technology 43 (3), 337-366, 2015
1102015
Detection of pits in tart cherries by hyperspectral transmission imaging
J Qin, R Lu
Transactions of the ASABE 48 (5), 1963, 2005
1092005
Monte Carlo simulation for quantification of light transport features in apples
J Qin, R Lu
Computers and Electronics in Agriculture 68 (1), 44-51, 2009
1082009
Prototype instrument development for non-destructive detection of pesticide residue in apple surface using Raman technology
S Dhakal, Y Li, Y Peng, K Chao, J Qin, L Guo
Journal of Food Engineering 123, 94-103, 2014
1022014
Line-scan hyperspectral imaging techniques for food safety and quality applications
J Qin, MS Kim, K Chao, DE Chan, SR Delwiche, BK Cho
Applied Sciences 7 (2), 125, 2017
992017
Development of a two-band spectral imaging system for real-time citrus canker detection
J Qin, TF Burks, X Zhao, N Niphadkar, MA Ritenour
Journal of Food Engineering 108 (1), 87-93, 2012
932012
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Articles 1–20