Assessing different processed meats for adulterants using visible-near-infrared spectroscopy AA AhmedRady Meat Science 136, 59-67, 2018 | 122 | 2018 |
Evaluation of sugar content of potatoes using hyperspectral imaging A Rady, D Guyer, R Lu Food and Bioprocess Technology 8, 995-1010, 2015 | 96 | 2015 |
Rapid and/or nondestructive quality evaluation methods for potatoes: A review AM Rady, DE Guyer Computers and electronics in agriculture 117, 31-48, 2015 | 86 | 2015 |
Evaluation of sugar content in potatoes using NIR reflectance and wavelength selection techniques AM Rady, DE Guyer Postharvest Biology and Technology 103, 17-26, 2015 | 73 | 2015 |
Hyperspectral imaging for detection of Codling Moth infestation in GoldRush apples A Rady, N Ekramiradb, A Adedejia, L Mengxeng, Alimardanib, Reza Postharvest Biology and Technology 129, 37-44, 2017 | 70 | 2017 |
The potential use of visible/near infrared spectroscopy and hyperspectral imaging to predict processing-related constituents of potatoes AM Rady, DE Guyer, W Kirk, IR Donis-González Journal of Food Engineering 135, 11-25, 2014 | 67 | 2014 |
Non-destructive technologies for detecting insect infestation in fruits and vegetables under postharvest conditions: A critical review AA Adedeji, N Ekramirad, A Rady, A Hamidisepehr, KD Donohue, ... Foods 9 (7), 927, 2020 | 59 | 2020 |
Application of hyperspectral imaging and machine learning methods to detect and quantify adulterants in minced meats A Rady, AA Adedeji Food Analytical Methods 13, 970-981, 2020 | 47 | 2020 |
The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods NJW Ahmed Rady ,Joel Fischer ,Stuart Reeves ,Brian Logan Sensors 20 (1), 2019 | 37 | 2019 |
Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons AM Rady, G Daniel E, NJ Watson Food Analytical Methods, 2020 | 31 | 2020 |
Evaluation of mechanical damage of Lady Rosetta potato tubers using different methods A Rady, S Soliman International Journal of Postharvest Technology and Innovation, 2015 | 25 | 2015 |
Application of acoustic emission and machine learning to detect codling moth infested apples M Li, N Ekramirad, A Rady, A Adedeji Transactions of the ASABE 61 (3), 1157-1164, 2018 | 24 | 2018 |
Intelligent sensors for sustainable food and drink manufacturing NJ Watson, AL Bowler, A Rady, OJ Fisher, A Simeone, J Escrig, ... Frontiers in Sustainable Food Systems 5, 642786, 2021 | 21 | 2021 |
Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes JE Escrig, A Simeone, E Woolley, S Rangappa, A Rady, NJ Watson Food and bioproducts processing 123, 1-13, 2020 | 21 | 2020 |
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process S Ozturk, A Bowler, A Rady, NJ Watson Journal of Food Engineering 341, 111339, 2023 | 19 | 2023 |
Utilization of visible/near-infrared spectroscopic and wavelength selection methods in sugar prediction and potatoes classification A Rady, D Guyer Journal of Food Measurement and Characterization 9, 20-34, 2015 | 17 | 2015 |
Feasibility of utilizing color imaging and machine learning for adulteration detection in minced meat AM Rady, A Adedeji, NJ Watson Journal of Agriculture and Food Research 6, 100251, 2021 | 16 | 2021 |
Application of Hyperspectral imaging and acoustic emission techniques for apple quality prediction N Ekramirad, A Rady, AA Adedeji, R Alimardani Transactions of the ASABE 60 (4), 1391-1401, 2017 | 16 | 2017 |
Fourier-transform infrared spectroscopy and machine learning to predict amino acid content of nine commercial insects Y HOU, P ZHAO, F Zhang, S YANG, A Rady, NK Wijewardane, J HUANG, ... Food Science and Technology 42, e100821, 2022 | 14 | 2022 |
A comparison of different optical instruments and machine learning techniques to identify sprouting activity in potatoes during storage AM Rady, DE Guyer, IR Donis-González, W Kirk, NJ Watson Journal of Food Measurement and Characterization 14 (6), 3565-3579, 2020 | 12 | 2020 |