| 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 | 472 | 2013 |
| 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 | 426 | 2008 |
| 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 | 369 | 2009 |
| 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 | 173 | 2009 |
| 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 | 170 | 2007 |
| 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 | 153 | 2010 |
| 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 | 149 | 2011 |
| 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 | 143 | 2014 |
| 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 | 141 | 2013 |
| 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 | 137 | 2017 |
| 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 | 137 | 2008 |
| 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 | 133 | 2016 |
| 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 | 130 | 2016 |
| 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 | 127 | 2012 |
| 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 | 123 | 2015 |
| 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 | 116 | 2009 |
| Detection of pits in tart cherries by hyperspectral transmission imaging J Qin, R Lu Transactions of the ASABE 48 (5), 1963, 2005 | 110 | 2005 |
| 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 | 106 | 2014 |
| 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 | 104 | 2017 |
| Maize seed classification using hyperspectral image coupled with multi-linear discriminant analysis C Xia, S Yang, M Huang, Q Zhu, Y Guo, J Qin Infrared Physics & Technology, 103077, 2019 | 101 | 2019 |
Moon S. KimUSDA, ARSایمیل تأیید شده در usda.gov
