Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review G Elmasry, M Kamruzzaman, DW Sun, P Allen Critical reviews in food science and nutrition 52 (11), 999-1023, 2012 | 524 | 2012 |
Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression M Kamruzzaman, G ElMasry, DW Sun, P Allen Innovative Food Science & Emerging Technologies 16, 218-226, 2012 | 423 | 2012 |
Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis M Kamruzzaman, G ElMasry, DW Sun, P Allen Analytica Chimica Acta 714, 57-67, 2012 | 376 | 2012 |
Application of NIR hyperspectral imaging for discrimination of lamb muscles M Kamruzzaman, G ElMasry, DW Sun, P Allen Journal of food engineering 104 (3), 332-340, 2011 | 300 | 2011 |
Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis M Kamruzzaman, DW Sun, G ElMasry, P Allen Talanta 103, 130-136, 2013 | 254 | 2013 |
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning M Kamruzzaman, Y Makino, S Oshita Journal of Food Engineering 170, 8-15, 2016 | 238 | 2016 |
Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging M Kamruzzaman, G ElMasry, DW Sun, P Allen Food Chemistry 141 (1), 389-396, 2013 | 236 | 2013 |
Potential of hyperspectral imaging and pattern recognition for categorization and authentication of red meat M Kamruzzaman, D Barbin, G ElMasry, DW Sun, P Allen Innovative Food Science & Emerging Technologies 16, 316-325, 2012 | 170 | 2012 |
Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: A review M Kamruzzaman, Y Makino, S Oshita Analytica chimica acta 853, 19-29, 2015 | 164 | 2015 |
Selection of feature wavelengths for developing multispectral imaging systems for quality, safety and authenticity of muscle foods-a review H Pu, M Kamruzzaman, DW Sun Trends in Food Science & Technology 45 (1), 86-104, 2015 | 161 | 2015 |
Assessment of visible near-infrared hyperspectral imaging as a tool for detection of horsemeat adulteration in minced beef M Kamruzzaman, Y Makino, S Oshita, S Liu Food and bioprocess technology 8, 1054-1062, 2015 | 154 | 2015 |
Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging M Kamruzzaman, Y Makino, S Oshita Food chemistry 196, 1084-1091, 2016 | 130 | 2016 |
Online monitoring of red meat color using hyperspectral imaging M Kamruzzaman, Y Makino, S Oshita Meat Science 116, 110-117, 2016 | 104 | 2016 |
Hyperspectral imaging for real-time monitoring of water holding capacity in red meat M Kamruzzaman, Y Makino, S Oshita LWT-Food Science and Technology 66, 685-691, 2016 | 97 | 2016 |
Introduction to hyperspectral imaging technology M Kamruzzaman, DW Sun Computer vision technology for food quality evaluation, 111-139, 2016 | 78 | 2016 |
Hierarchical variable selection for predicting chemical constituents in lamb meats using hyperspectral imaging H Pu, DW Sun, J Ma, D Liu, M Kamruzzaman Journal of Food Engineering 143, 44-52, 2014 | 72 | 2014 |
Application of wavelet analysis to spectral data for categorization of lamb muscles H Pu, A Xie, DW Sun, M Kamruzzaman, J Ma Food and Bioprocess Technology 8, 1-16, 2015 | 61 | 2015 |
Hyperspectral imaging in tandem with multivariate analysis and image processing for non-invasive detection and visualization of pork adulteration in minced beef M Kamruzzaman, Y Makino, S Oshita Analytical Methods 7 (18), 7496-7502, 2015 | 51 | 2015 |
Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data M Kamruzzaman, D Kalita, MT Ahmed, G ElMasry, Y Makino Analytica Chimica Acta 1202, 339390, 2022 | 50 | 2022 |
Application of NIR spectroscopy and multivariate analysis for Non-destructive evaluation of apple moisture content during ultrasonic drying A Malvandi, H Feng, M Kamruzzaman Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 269, 120733, 2022 | 46 | 2022 |