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Ahmed Rady
Ahmed Rady
Teagasc Food Research Centre, Dublin, Ireland
在 nottingham.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Assessing different processed meats for adulterants using visible-near-infrared spectroscopy
AA AhmedRady
Meat Science 136, 59-67, 2018
1222018
Evaluation of sugar content of potatoes using hyperspectral imaging
A Rady, D Guyer, R Lu
Food and Bioprocess Technology 8, 995-1010, 2015
962015
Rapid and/or nondestructive quality evaluation methods for potatoes: A review
AM Rady, DE Guyer
Computers and electronics in agriculture 117, 31-48, 2015
862015
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
732015
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
702017
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
672014
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
592020
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
472020
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
372019
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
312020
Evaluation of mechanical damage of Lady Rosetta potato tubers using different methods
A Rady, S Soliman
International Journal of Postharvest Technology and Innovation, 2015
252015
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
242018
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
212021
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
212020
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
192023
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
172015
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
162021
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
162017
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
142022
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
122020
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