| Year |
Citation |
Score |
| 2021 |
Walsh K, Lu R, Nicolaï B. Special issue: Recent advances in the use of visible and vibrational spectroscopy/imaging for measurement of postharvest quality Postharvest Biology and Technology. 171: 111347. DOI: 10.1016/J.Postharvbio.2020.111347 |
0.355 |
|
| 2020 |
Sun Y, Lu R, Pan L, Wang X, Tu K. Assessment of the optical properties of peaches with fungal infection using spatially-resolved diffuse reflectance technique and their relationships with tissue structural and biochemical properties. Food Chemistry. 321: 126704. PMID 32234637 DOI: 10.1016/J.Foodchem.2020.126704 |
0.359 |
|
| 2020 |
Lu Y, Lu R. siritool: A Matlab Graphical User Interface for Image Analysis in Structured-Illumination Reflectance Imaging for Fruit Defect Detection Transactions of the Asabe. 63: 1037-1047. DOI: 10.13031/Trans.13612 |
0.342 |
|
| 2020 |
Lu Y, Saeys W, Kim M, Peng Y, Lu R. Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress Postharvest Biology and Technology. 170: 111318. DOI: 10.1016/J.Postharvbio.2020.111318 |
0.379 |
|
| 2020 |
Sun Y, Lu R, Wang X. Evaluation of fungal infection in peaches based on optical and microstructural properties Postharvest Biology and Technology. 165: 111181. DOI: 10.1016/J.Postharvbio.2020.111181 |
0.336 |
|
| 2020 |
Huang Y, Lu R, Chen K. Detection of internal defect of apples by a multichannel Vis/NIR spectroscopic system Postharvest Biology and Technology. 161: 111065. DOI: 10.1016/J.Postharvbio.2019.111065 |
0.319 |
|
| 2020 |
Lu R, Beers RV, Saeys W, Li C, Cen H. Measurement of optical properties of fruits and vegetables: A review Postharvest Biology and Technology. 159: 111003. DOI: 10.1016/J.Postharvbio.2019.111003 |
0.35 |
|
| 2020 |
Hu D, Lu R, Ying Y. Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products Journal of Food Engineering. 277: 109909. DOI: 10.1016/J.Jfoodeng.2020.109909 |
0.34 |
|
| 2020 |
Lu Y, Lu R. Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers Computers and Electronics in Agriculture. 168: 105145. DOI: 10.1016/J.Compag.2019.105145 |
0.388 |
|
| 2020 |
Hu D, Lu R, Huang Y, Ying Y, Fu X. Effects of optical variables in a single integrating sphere system on estimation of scattering properties of turbid media Biosystems Engineering. 194: 82-98. DOI: 10.1016/J.Biosystemseng.2020.03.012 |
0.354 |
|
| 2019 |
Sun Y, Lu R, Lu Y, Tu K, Pan L. Detection of early decay in peaches by structured-illumination reflectance imaging Postharvest Biology and Technology. 151: 68-78. DOI: 10.1016/J.Postharvbio.2019.01.011 |
0.385 |
|
| 2019 |
Lu Y, Lu R. Structured-illumination reflectance imaging for the detection of defects in fruit: Analysis of resolution, contrast and depth-resolving features Biosystems Engineering. 180: 1-15. DOI: 10.1016/J.Biosystemseng.2019.01.014 |
0.431 |
|
| 2018 |
Lu Y, Lu R. Detection of Surface and Subsurface Defects of Apples Using Structured- Illumination Reflectance Imaging with Machine Learning Algorithms Transactions of the Asabe. 61: 1831-1842. DOI: 10.13031/Trans.12930 |
0.367 |
|
| 2018 |
Li R, Lu Y, Lu R. Structured Illumination Reflectance Imaging for Enhanced Detection of Subsurface Tissue Bruising in Apples Transactions of the Asabe. 61: 809-819. DOI: 10.13031/Trans.12243 |
0.4 |
|
| 2018 |
Huang Y, Lu R, Hu D, Chen K. Quality assessment of tomato fruit by optical absorption and scattering properties Postharvest Biology and Technology. 143: 78-85. DOI: 10.1016/J.Postharvbio.2018.04.016 |
0.419 |
|
| 2018 |
Huang Y, Lu R, Xu Y, Chen K. Prediction of tomato firmness using spatially-resolved spectroscopy Postharvest Biology and Technology. 140: 18-26. DOI: 10.1016/J.Postharvbio.2018.02.008 |
0.389 |
|
| 2018 |
Hu D, Lu R, Ying Y. A two-step parameter optimization algorithm for improving estimation of optical properties using spatial frequency domain imaging Journal of Quantitative Spectroscopy & Radiative Transfer. 207: 32-40. DOI: 10.1016/J.Jqsrt.2017.12.022 |
0.34 |
|
| 2018 |
Huang Y, Lu R, Chen K. Assessment of tomato soluble solids content and pH by spatially-resolved and conventional Vis/NIR spectroscopy Journal of Food Engineering. 236: 19-28. DOI: 10.1016/J.Jfoodeng.2018.05.008 |
0.365 |
|
| 2018 |
Lu Y, Lu R. Structured-illumination reflectance imaging coupled with phase analysis techniques for surface profiling of apples Journal of Food Engineering. 232: 11-20. DOI: 10.1016/J.Jfoodeng.2018.03.016 |
0.313 |
|
| 2018 |
Huang Y, Lu R, Chen K. Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy Journal of Food Engineering. 222: 185-198. DOI: 10.1016/J.Jfoodeng.2017.11.030 |
0.397 |
|
| 2018 |
Lu Y, Lu R. Fast Bi-dimensional empirical mode decomposition as an image enhancement technique for fruit defect detection Computers and Electronics in Agriculture. 152: 314-323. DOI: 10.1016/J.Compag.2018.07.025 |
0.394 |
|
| 2017 |
Hu D, Lu R, Ying Y. Finite element simulation of light transfer in turbid media under structured illumination. Applied Optics. 56: 6035-6042. PMID 29047929 DOI: 10.1364/Ao.56.006035 |
0.4 |
|
| 2017 |
Mendoza FA, Cichy KA, Sprague C, Goffnett A, Lu R, Kelly JD. Prediction of canned black bean texture (Phaseolus vulgaris L.) from intact dry seeds using visible/near-infrared spectroscopy and hyperspectral imaging data. Journal of the Science of Food and Agriculture. PMID 28585253 DOI: 10.1002/Jsfa.8469 |
0.414 |
|
| 2017 |
Lu Y, Huang Y, Lu R. Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review Applied Sciences. 7: 189. DOI: 10.3390/App7020189 |
0.41 |
|
| 2017 |
Lu Y, Lu R. Non-Destructive Defect Detection of Apples by Spectroscopic and Imaging Technologies: A Review Transactions of the Asabe. 60: 1765-1790. DOI: 10.13031/Trans.12431 |
0.388 |
|
| 2017 |
Lu Y, Lu R. Development of a Multispectral Structured Illumination Reflectance Imaging (SIRI) System and Its Application to Bruise Detection of Apples Transactions of the Asabe. 60: 1379-1389. DOI: 10.13031/Trans.12158 |
0.424 |
|
| 2017 |
Zhu Q, Xing Y, Lu R, Huang M, Ng PKW. Visible/shortwave near infrared spectroscopy and hyperspectral scattering for determining bulk density and particle size of wheat flour Journal of Near Infrared Spectroscopy. 25: 116-126. DOI: 10.1177/0967033517704081 |
0.403 |
|
| 2017 |
Huang Y, Lu R, Chen K. Development of a multichannel hyperspectral imaging probe for property and quality assessment of horticultural products Postharvest Biology and Technology. 133: 88-97. DOI: 10.1016/J.Postharvbio.2017.07.009 |
0.376 |
|
| 2017 |
Wang A, Lu R, Xie L. Improved algorithm for estimating the optical properties of food products using spatially-resolved diffuse reflectance Journal of Food Engineering. 212: 1-11. DOI: 10.1016/J.Jfoodeng.2017.05.005 |
0.329 |
|
| 2017 |
Lu Y, Lu R. Using composite sinusoidal patterns in structured-illumination reflectance imaging (SIRI) for enhanced detection of apple bruise ☆ Journal of Food Engineering. 199: 54-64. DOI: 10.1016/J.Jfoodeng.2016.12.008 |
0.358 |
|
| 2017 |
Lu Y, Lu R. Histogram-based automatic thresholding for bruise detection of apples by structured-illumination reflectance imaging Biosystems Engineering. 160: 30-41. DOI: 10.1016/J.Biosystemseng.2017.05.005 |
0.392 |
|
| 2016 |
Lu Y, Li R, Lu R. Gram-Schmidt orthonormalization for retrieval of amplitude images under sinusoidal patterns of illumination. Applied Optics. 55: 6866-6873. PMID 27607260 DOI: 10.1364/Ao.55.006866 |
0.376 |
|
| 2016 |
Wang A, Lu R, Xie L. Finite element modeling of light propagation in turbid media under illumination of a continuous-wave beam. Applied Optics. 55: 95-103. PMID 26835627 DOI: 10.1364/Ao.55.000095 |
0.311 |
|
| 2016 |
Lu Y, Li R, Lu R. Structured-illumination reflectance imaging (SIRI) for enhanced detection of fresh bruises in apples Postharvest Biology and Technology. 117: 89-93. DOI: 10.1016/J.Postharvbio.2016.02.005 |
0.412 |
|
| 2016 |
Zhu Q, Guan J, Huang M, Lu R, Mendoza F. Predicting bruise susceptibility of 'Golden Delicious' apples using hyperspectral scattering technique Postharvest Biology and Technology. 114: 86-94. DOI: 10.1016/J.Postharvbio.2015.12.007 |
0.403 |
|
| 2016 |
Cen H, Lu R, Zhu Q, Mendoza F. Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification Postharvest Biology and Technology. 111: 352-361. DOI: 10.1016/J.Postharvbio.2015.09.027 |
0.354 |
|
| 2016 |
Lu Y, Li R, Lu R. Fast demodulation of pattern images by spiral phase transform in structured-illumination reflectance imaging for detection of bruises in apples Computers and Electronics in Agriculture. 127: 652-658. DOI: 10.1016/J.Compag.2016.07.012 |
0.388 |
|
| 2016 |
Pan L, Lu R, Zhu Q, Tu K, Cen H. Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering Food and Bioprocess Technology. 1-10. DOI: 10.1007/S11947-016-1710-5 |
0.445 |
|
| 2015 |
Pan L, Zhu Q, Lu R, McGrath JM. Determination of sucrose content in sugar beet by portable visible and near-infrared spectroscopy. Food Chemistry. 167: 264-71. PMID 25148988 DOI: 10.1016/J.Foodchem.2014.06.117 |
0.377 |
|
| 2015 |
Zhu Q, He C, Lu R, Mendoza F, Cen H. Ripeness evaluation of 'Sun Bright' tomato using optical absorption and scattering properties Postharvest Biology and Technology. 103: 27-34. DOI: 10.1016/J.Postharvbio.2015.02.007 |
0.433 |
|
| 2015 |
Pan L, Lu R, Zhu Q, McGrath JM, Tu K. Measurement of moisture, soluble solids, sucrose content and mechanical properties in sugar beet using portable visible and near-infrared spectroscopy Postharvest Biology and Technology. 102: 42-50. DOI: 10.1016/J.Postharvbio.2015.02.005 |
0.376 |
|
| 2015 |
Rady A, Guyer DE, Lu R. Evaluation of Sugar Content of Potatoes using Hyperspectral Imaging Food and Bioprocess Technology. 8: 995-1010. DOI: 10.1007/S11947-014-1461-0 |
0.376 |
|
| 2014 |
Mendoza F, Lu R, Cen H. Grading of apples based on firmness and soluble solids content using Vis/SWNIR spectroscopy and spectral scattering techniques Journal of Food Engineering. 125: 59-68. DOI: 10.1016/J.Jfoodeng.2013.10.022 |
0.443 |
|
| 2014 |
Leiva-Valenzuela GA, Lu R, Aguilera JM. Assessment of internal quality of blueberries using hyperspectral transmittance and reflectance images with whole spectra or selected wavelengths Innovative Food Science and Emerging Technologies. 24: 2-13. DOI: 10.1016/J.Ifset.2014.02.006 |
0.48 |
|
| 2014 |
Mendoza FA, Cichy K, Lu R, Kelly JD. Evaluation of Canning Quality Traits in Black Beans (Phaseolus vulgaris L.) by Visible/Near-Infrared Spectroscopy Food and Bioprocess Technology. 7: 2666-2678. DOI: 10.1007/S11947-014-1285-Y |
0.392 |
|
| 2014 |
Cen H, Lu R, Ariana DP, Mendoza F. Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers Food and Bioprocess Technology. 7: 1689-1700. DOI: 10.1007/S11947-013-1177-6 |
0.399 |
|
| 2013 |
Cen H, Lu R, Mendoza F, Beaudry RM. Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue Postharvest Biology and Technology. 85: 30-38. DOI: 10.1016/J.Postharvbio.2013.04.014 |
0.371 |
|
| 2013 |
Lu R, Ariana DP. Detection of fruit fly infestation in pickling cucumbers using a hyperspectral reflectance/transmittance imaging system Postharvest Biology and Technology. 81: 44-50. DOI: 10.1016/J.Postharvbio.2013.02.003 |
0.426 |
|
| 2013 |
Qin J, Chao K, Kim MS, Lu R, Burks TF. Hyperspectral and multispectral imaging for evaluating food safety and quality Journal of Food Engineering. 118: 157-171. DOI: 10.1016/J.Jfoodeng.2013.04.001 |
0.536 |
|
| 2013 |
Leiva-Valenzuela GA, Lu R, Aguilera JM. Prediction of firmness and soluble solids content of blueberries using hyperspectral reflectance imaging Journal of Food Engineering. 115: 91-98. DOI: 10.1016/J.Jfoodeng.2012.10.001 |
0.455 |
|
| 2013 |
Mizushima A, Lu R. An image segmentation method for apple sorting and grading using support vector machine and Otsu's method Computers and Electronics in Agriculture. 94: 29-37. DOI: 10.1016/J.Compag.2013.02.009 |
0.356 |
|
| 2012 |
Cen H, Lu R, Mendoza FA, Ariana DP. Assessing multiple quality attributes of peaches using optical absorption and scattering properties Transactions of the Asabe. 55: 647-657. DOI: 10.13031/2013.41366 |
0.493 |
|
| 2012 |
Mendoza F, Lu R, Cen H. Comparison and fusion of four nondestructive sensors for predicting apple fruit firmness and soluble solids content Postharvest Biology and Technology. 73: 89-98. DOI: 10.1016/J.Postharvbio.2012.05.012 |
0.326 |
|
| 2012 |
Huang M, Zhu Q, Wang B, Lu R. Analysis of hyperspectral scattering images using locally linear embedding algorithm for apple mealiness classification Computers and Electronics in Agriculture. 89: 175-181. DOI: 10.1016/J.Compag.2012.09.003 |
0.356 |
|
| 2011 |
Lu R, Ariana DP. Detection of fruit fly infestation in pickling cucumbers using hyperspectral imaging Proceedings of Spie - the International Society For Optical Engineering. 8027. DOI: 10.1117/12.887524 |
0.434 |
|
| 2011 |
Mendoza F, Lu R, Cen H. Multi-sensor data fusion for improved prediction of apple fruit firmness and soluble solids content Proceedings of Spie - the International Society For Optical Engineering. 8027. DOI: 10.1117/12.883649 |
0.31 |
|
| 2011 |
Cen H, Lu R, Mendoza FA, Ariana DP. Peach maturity/quality assessment using hyperspectral imaging-based spatially-resolved technique Proceedings of Spie - the International Society For Optical Engineering. 8027. DOI: 10.1117/12.883573 |
0.5 |
|
| 2011 |
Mendoza F, Lu R, Ariana D, Cen H, Bailey B. Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content Postharvest Biology and Technology. 62: 149-160. DOI: 10.1016/J.Postharvbio.2011.05.009 |
0.48 |
|
| 2011 |
Lu R, Ariana DP, Cen H. Optical absorption and scattering properties of normal and defective pickling cucumbers for 700-1000 nm Sensing and Instrumentation For Food Quality and Safety. 5: 51-56. DOI: 10.1007/S11694-011-9108-6 |
0.441 |
|
| 2010 |
Cen H, Lu R. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Optics Express. 18: 17412-32. PMID 20721128 DOI: 10.1364/Oe.18.017412 |
0.418 |
|
| 2010 |
Huang M, Lu R. Optimal Wavelength Selection For Hyperspectral Scattering Prediction Of Apple Firmness And Soluble Solids Content Transactions of the Asabe. 53: 1175-1182. DOI: 10.13031/2013.32574 |
0.398 |
|
| 2010 |
Lu R, Cen H, Huang M, Ariana DP. Spectral absorption and scattering properties of normal and bruised apple tissue Transactions of the Asabe. 53: 263-269. DOI: 10.13031/2013.29491 |
0.398 |
|
| 2010 |
Lu R, Ariana DP, Cen H. Characterization of the optical properties of normal and defective pickling cucumbers and whole pickles Proceedings of Spie - the International Society For Optical Engineering. 7676. DOI: 10.1117/12.852636 |
0.439 |
|
| 2010 |
Cen H, Lu R, Dolan K. Optimization of inverse algorithm for estimating the optical properties of biological materials using spatially-resolved diffuse reflectance Inverse Problems in Science and Engineering. 18: 853-872. DOI: 10.1080/17415977.2010.492516 |
0.349 |
|
| 2010 |
Huang M, Lu R. Apple mealiness detection using hyperspectral scattering technique Postharvest Biology and Technology. 58: 168-175. DOI: 10.1016/J.Postharvbio.2010.08.002 |
0.4 |
|
| 2010 |
Ariana DP, Lu R. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging Journal of Food Engineering. 96: 583-590. DOI: 10.1016/J.Jfoodeng.2009.09.005 |
0.431 |
|
| 2010 |
Ariana DP, Lu R. Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles Computers and Electronics in Agriculture. 74: 137-144. DOI: 10.1016/J.Compag.2010.07.008 |
0.415 |
|
| 2009 |
Cen H, Lu R. Quantification of the optical properties of two-layer turbid materials using a hyperspectral imaging-based spatially-resolved technique. Applied Optics. 48: 5612-23. PMID 19823246 DOI: 10.1364/Ao.48.005612 |
0.397 |
|
| 2009 |
Qin J, Lu R, Peng Y. Prediction of Apple Internal Quality Using Spectral Absorption and Scattering Properties Transactions of the Asabe. 52: 499-507. DOI: 10.13031/2013.26807 |
0.595 |
|
| 2009 |
Lu R, Huang M, Qin J. Analysis of hyperspectral scattering characteristics for predicting apple fruit firmness and soluble solids content Proceedings of Spie. 7315. DOI: 10.1117/12.819287 |
0.55 |
|
| 2009 |
Qin J, Lu R. Monte Carlo simulation for quantification of light transport features in apples Computers and Electronics in Agriculture. 68: 44-51. DOI: 10.1016/J.Compag.2009.04.002 |
0.519 |
|
| 2009 |
Kavdir I, Buyukcan MB, Lu R, Kocabiyik H, Seker M. Prediction of olive quality using FT-NIR spectroscopy in reflectance and transmittance modes Biosystems Engineering. 103: 304-312. DOI: 10.1016/J.Biosystemseng.2009.04.014 |
0.385 |
|
| 2009 |
Mizrach A, Lu R, Rubino M. Gloss Evaluation of Curved-surface Fruits and Vegetables Food and Bioprocess Technology. 2: 300-307. DOI: 10.1007/S11947-008-0083-9 |
0.334 |
|
| 2008 |
Ariana DP, Lu R. Detection of internal defect in pickling cucumbers using hyperspectral transmittance imaging Transactions of the Asabe. 51: 705-713. DOI: 10.13031/2013.24367 |
0.426 |
|
| 2008 |
Qin J, Lu R. Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique Postharvest Biology and Technology. 49: 355-365. DOI: 10.1016/J.Postharvbio.2008.03.010 |
0.576 |
|
| 2008 |
Peng Y, Lu R. Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content Postharvest Biology and Technology. 48: 52-62. DOI: 10.1016/J.Postharvbio.2007.09.019 |
0.451 |
|
| 2008 |
Lu R. Quality Evaluation of Fruit by Hyperspectral Imaging Computer Vision Technology For Food Quality Evaluation. 319-348. DOI: 10.1016/B978-012373642-0.50017-X |
0.332 |
|
| 2008 |
Lu R, Park B. Hyperspectral and multispectral imaging for food quality and safety Sensing and Instrumentation For Food Quality and Safety. 2: 131-132. DOI: 10.1007/S11694-008-9060-2 |
0.326 |
|
| 2008 |
Ariana DP, Lu R. Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging - Part II. Performance of a prototype Sensing and Instrumentation For Food Quality and Safety. 2: 152-160. DOI: 10.1007/S11694-008-9058-9 |
0.448 |
|
| 2008 |
Cluff K, Naganathan GK, Subbiah J, Lu R, Calkins CR, Samal A. Optical scattering in beef steak to predict tenderness using hyperspectral imaging in the VIS-NIR region Sensing and Instrumentation For Food Quality and Safety. 2: 189-196. DOI: 10.1007/S11694-008-9052-2 |
0.468 |
|
| 2008 |
Xing J, Guyer D, Ariana D, Lu R. Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry Sensing and Instrumentation For Food Quality and Safety. 2: 161-167. DOI: 10.1007/S11694-008-9047-Z |
0.333 |
|
| 2008 |
Lu R, Ariana DP. Development of a hyperspectral imaging system for online quality inspection of pickling cucumbers American Society of Agricultural and Biological Engineers - Food Processing Automation Conference 2008. 179-186. |
0.342 |
|
| 2007 |
Qin J, Lu R. Measurement of the absorption and scattering properties of turbid liquid foods using hyperspectral imaging. Applied Spectroscopy. 61: 388-96. PMID 17456257 DOI: 10.1366/000370207780466190 |
0.592 |
|
| 2007 |
Noh HK, Peng Y, Lu R. Integration of Hyperspectral Reflectance and Fluorescence Imaging for Assessing Apple Maturity Transactions of the Asabe. 50: 963-971. DOI: 10.13031/2013.23119 |
0.408 |
|
| 2007 |
Lu R, Peng Y. Development of a multispectral imaging prototype for real-time detection of apple fruit firmness Optical Engineering. 46: 123201. DOI: 10.1117/1.2818812 |
0.453 |
|
| 2007 |
Noh HK, Lu R. Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality Postharvest Biology and Technology. 43: 193-201. DOI: 10.1016/J.Postharvbio.2006.09.006 |
0.398 |
|
| 2007 |
Kavdir I, Lu R, Ariana D, Ngouajio M. Visible and near-infrared spectroscopy for nondestructive quality assessment of pickling cucumbers Postharvest Biology and Technology. 44: 165-174. DOI: 10.1016/J.Postharvbio.2006.09.002 |
0.375 |
|
| 2007 |
Peng Y, Lu R. Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images Journal of Food Engineering. 82: 142-152. DOI: 10.1016/J.Jfoodeng.2006.12.027 |
0.459 |
|
| 2007 |
Lu R. Nondestructive measurement of firmness and soluble solids content for apple fruit using hyperspectral scattering images Sensing and Instrumentation For Food Quality and Safety. 1: 19-27. DOI: 10.1007/S11694-006-9002-9 |
0.466 |
|
| 2007 |
Peng Y, Lu R. Characterization of spatially-resolved hyperspectral scattering images for assessing apple fruit firmness 2007 Asabe Annual International Meeting, Technical Papers. 14. |
0.337 |
|
| 2006 |
Qin J, Lu R. Hyperspectral diffuse reflectance imaging for rapid, noncontact measurement of the optical properties of turbid materials. Applied Optics. 45: 8366-73. PMID 17068584 DOI: 10.1364/Ao.45.008366 |
0.579 |
|
| 2006 |
Peng Y, Lu R. An lctf-based multispectral imaging system for estimation of apple fruit firmness: Part I. Acquisition and characterization of scattering images Transactions of the Asabe. 49: 259-267. DOI: 10.13031/2013.20225 |
0.47 |
|
| 2006 |
Peng Y, Lu R. An Lctf-Based Multispectral Imaging System For Estimation Of Apple Fruit Firmness: Part Ii. Selection Of Optimal Wavelengths And Development Of Prediction Models Transactions of the Asabe. 49: 269-275. DOI: 10.13031/2013.20224 |
0.464 |
|
| 2006 |
Lu R, Srivastava AK, Ababneh HAA. Finite Element Analysis And Experimental Evaluation Of Bioyield Probes For Measuring Apple Fruit Firmness Transactions of the Asabe. 49: 123-131. DOI: 10.13031/2013.20220 |
0.313 |
|
| 2006 |
Peng Y, Lu R. Improving apple fruit firmness predictions by effective correction of multispectral scattering images Postharvest Biology and Technology. 41: 266-274. DOI: 10.1016/J.Postharvbio.2006.04.005 |
0.463 |
|
| 2006 |
Ariana DP, Lu R, Guyer DE. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers Computers and Electronics in Agriculture. 53: 60-70. DOI: 10.1016/J.Compag.2006.04.001 |
0.408 |
|
| 2005 |
Qin J, Lu R. Detection Of Pits In Tart Cherries By Hyperspectral Transmission Imaging Transactions of the Asabe. 48: 1963-1970. DOI: 10.13031/2013.19988 |
0.539 |
|
| 2005 |
Peng Y, Lu R. Modeling Multispectral Scattering Profiles For Prediction Of Apple Fruit Firmness Transactions of the Asabe. 48: 235-242. DOI: 10.13031/2013.17923 |
0.449 |
|
| 2005 |
Lu R, Peng Y. Assessing peach firmness by multi-spectral scattering Journal of Near Infrared Spectroscopy. 13: 27-35. DOI: 10.1255/Jnirs.454 |
0.462 |
|
| 2005 |
Lu R, Peng Y. A laser-based multispectral imaging system for real-time detection of apple fruit firmness Proceedings of Spie - the International Society For Optical Engineering. 5996. DOI: 10.1117/12.630814 |
0.351 |
|
| 2005 |
Peng Y, Lu R. An improved multispectral imaging system for apple fruit firmness prediction 2005 Asae Annual International Meeting. |
0.367 |
|
| 2004 |
Lu R. Near-infrared multispectral scattering for assessing internal quality of apple fruit Proceedings of Spie - the International Society For Optical Engineering. 5271: 313-320. DOI: 10.1117/12.516008 |
0.357 |
|
| 2004 |
Lu R. Prediction of apple fruit firmness by near-infrared multispectral scattering Journal of Texture Studies. 35: 263-276. DOI: 10.1111/J.1745-4603.2004.Tb00837.X |
0.445 |
|
| 2004 |
Lu R. Multispectral imaging for predicting firmness and soluble solids content of apple fruit Postharvest Biology and Technology. 31: 147-157. DOI: 10.1016/J.Postharvbio.2003.08.006 |
0.448 |
|
| 2004 |
Lu R, Peng Y. Hyperspectral scattering for assessing peach fruit firmness Asae Annual International Meeting 2004. 3589-3598. DOI: 10.1016/J.Biosystemseng.2005.11.004 |
0.438 |
|
| 2004 |
Peng Y, Lu R. Predicting apple fruit firmness by multispectral scattering profiles Asae Annual International Meeting 2004. 7013-7022. |
0.349 |
|
| 2003 |
Lu R. Detection of bruises on apples using near-infrared hyperspectral imaging Transactions of the American Society of Agricultural Engineers. 46: 523-530. DOI: 10.13031/2013.12941 |
0.426 |
|
| 2002 |
Lu R, Ariana D. A Near–Infrared Sensing Technique For Measuring Internal Quality Of Apple Fruit Applied Engineering in Agriculture. 18: 585-592. DOI: 10.13031/2013.10146 |
0.408 |
|
| 2001 |
Lu R. Predicting firmness and sugar content of sweet cherries using near-infrared diffuse reflectance spectroscopy Transactions of the American Society of Agricultural Engineers. 44: 1265-1271. DOI: 10.13031/2013.6421 |
0.4 |
|
| 2000 |
Lu R, Guyer DE, Beaudry RM. Determination of firmness and sugar content of apples using near-infrared diffuse reflectance Journal of Texture Studies. 31: 615-630. DOI: 10.1111/J.1745-4603.2000.Tb01024.X |
0.415 |
|
| 1992 |
Lu R, Siebenmorgen TJ, Dilday RH, Costello TA. Modeling Long-grain Rice Milling Quality and Yield During the Harvest Season Transactions of the Asabe. 35: 1905-1913. DOI: 10.13031/2013.28814 |
0.302 |
|
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