| 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 | 432 | 2013 |
| Multispectral imaging for predicting firmness and soluble solids content of apple fruit R Lu Postharvest Biology and Technology 31 (2), 147-157, 2004 | 422 | 2004 |
| 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 | 408 | 2008 |
| Detection of bruises on apples using near–infrared hyperspectral imaging R Lu Transactions of the ASAE 46 (2), 523, 2003 | 393 | 2003 |
| Hyperspectral scattering for assessing peach fruit firmness R Lu, Y Peng Biosystems engineering 93 (2), 161-171, 2006 | 389 | 2006 |
| Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers DP Ariana, R Lu, DE Guyer Computers and electronics in agriculture 53 (1), 60-70, 2006 | 321 | 2006 |
| Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content Y Peng, R Lu Postharvest Biology and Technology 48 (1), 52-62, 2008 | 317 | 2008 |
| Sensors for product characterization and quality of specialty crops—A review M Ruiz-Altisent, L Ruiz-Garcia, GP Moreda, R Lu, N Hernandez-Sanchez, ... Computers and Electronics in agriculture 74 (2), 176-194, 2010 | 296 | 2010 |
| Prediction of firmness and soluble solids content of blueberries using hyperspectral reflectance imaging GA Leiva-Valenzuela, R Lu, JM Aguilera Journal of Food Engineering 115 (1), 91-98, 2013 | 288 | 2013 |
| Technologies for nondestructive quality evaluation of fruits and vegetables. JA Abbott, LRF Lu RenFu, BL Upchurch, RL Stroshine | 281 | 1997 |
| Predicting firmness and sugar content of sweet cherries using near–infrared diffuse reflectance spectroscopy R Lu Transactions of the ASAE 44 (5), 1265, 2001 | 274 | 2001 |
| DETERMINATION OF FIRMNESS AND SUGAR CONTENT OF APPLES USING NEAR‐INFRARED DIFFUSE REFLECTANCE 1 R Lu, DE Guyer, RM Beaudry Journal of texture studies 31 (6), 615-630, 2000 | 272 | 2000 |
| Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content F Mendoza, R Lu, D Ariana, H Cen, B Bailey Postharvest Biology and Technology 62 (2), 149-160, 2011 | 239 | 2011 |
| Hyperspectral imaging for safety inspection of food and agricultural products R Lu, YR Chen Pathogen Detection and Remediation for Safe Eating 3544, 121-133, 1999 | 239 | 1999 |
| An image segmentation method for apple sorting and grading using support vector machine and Otsu’s method A Mizushima, R Lu Computers and electronics in agriculture 94, 29-37, 2013 | 232 | 2013 |
| A near–infrared sensing technique for measuring internal quality of apple fruit R Lu, D Ariana Applied Engineering in Agriculture 18 (5), 585, 2002 | 202 | 2002 |
| Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images Y Peng, R Lu Journal of Food Engineering 82 (2), 142-152, 2007 | 191 | 2007 |
| Anisotropic mechanical properties of apples JA Abbott, R Lu Transactions of the ASAE 39 (4), 1451-1459, 1996 | 187 | 1996 |
| Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification H Cen, R Lu, Q Zhu, F Mendoza Postharvest Biology and Technology 111, 352-361, 2016 | 185 | 2016 |
| Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality HK Noh, R Lu Postharvest Biology and Technology 43 (2), 193-201, 2007 | 181 | 2007 |
