AI-Enabled Optical Sensing for Smart and Precision Food Drying: Techniques, Applications and Future Directions DOI
Marcus Vinicius da Silva Ferreira,

Md Wadud Ahmed,

Marciano M. Oliveira

et al.

Food Engineering Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Language: Английский

An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry DOI Creative Commons
Md Wadud Ahmed, Alin Khaliduzzaman, J.L. Emmert

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 230, P. 109847 - 109847

Published: Dec. 18, 2024

Language: Английский

Citations

5
Non-destructive pre-incubation sex determination in chicken eggs using hyperspectral imaging and machine learning DOI Creative Commons
Md Wadud Ahmed,

Asher Sprigler,

J.L. Emmert

et al.

Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111233 - 111233

Published: Feb. 1, 2025

Language: Английский

Citations

0
Simultaneous Determination of Multi-Target Pesticides and Veterinary Drugs in Eggs by Emulsification-Demulsification Approach Coupled with Uplc-Ms/Ms DOI
Hao Peng,

X K Wang,

Guoying Wei

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Nondestructive Classification of Yellow and Orange Colored Yolk Eggs using Hyperspectral Imaging Combined with PLS-DA DOI Creative Commons
Alin Khaliduzzaman, J.L. Emmert, Mohammad Kamruzzaman

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract Nondestructive yolk color detection holds significant potential in the egg and poultry industries due to its critical role shaping consumer preferences, nutritional perceptions, marketability. A consistent may support product branding, quality assurance, adherence market-specific standards. Thus, this research study aimed develop an nondestructive approach using hyperspectral imaging (HSI) combined with partial least squares discriminant analysis (PLS-DA) separate orange yolk-colored eggs from yellow eggs. camera visible range of 400 nm 1000 was used for spectral information total 146 white eggshell infertile were collected farm University Illinois at Urbana-Champaign investigation. The dataset divided into 70% training 30% testing purposes. classification model developed PLS-DA various preprocessing techniques. An accuracy 100% on set achieved standard normal variate (SNV), first derivative (FD) second (SD) data. key 9 variables (wavelengths) found 520–680 nm, which indicated variation types amount carotenoid pigments deposited yolks, are influenced by hen feed metabolic efficiency. These findings suggested that HSI multivariate could be grade chicken based their internal future industry.

Language: Английский

Citations

0
Chemometric-based Approach for Economically Motivated Fraud Detection in Organic Spices via NIR Spectroscopy DOI Creative Commons

Nathaniel Glen Schumer,

Md Wadud Ahmed, Kent D. Rausch

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107538 - 107538

Published: March 1, 2025

Language: Английский

Citations

0
A systematic review of explainable artificial intelligence for spectroscopic agricultural quality assessment DOI Creative Commons
Md. Toukir Ahmed,

Md Wadud Ahmed,

Mohammed Kamruzzaman

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110354 - 110354

Published: April 4, 2025

Language: Английский

Citations

0
A Graphene-Based Surface Plasmon Resonance Metasurfaces Terahertz Sensor for Early Brain Tumor Detection with Machine Learning Optimization DOI
Jacob Wekalao, Yahya Ali Abdelrahman Ali,

Taoufik Saidani

et al.

Plasmonics, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Language: Английский

Citations

0
Basic Physical Characteristics of Food DOI
Man Zhou, Hao Lin,

Solomon Yao-Say Selorm Adade

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Predicting Egg Storage Time with a Portable Near-Infrared Instrument: Effects of Temperature and Production System DOI Creative Commons
Daniel Cozzolino,

Pooja Sanal,

Jana Schreuder

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(2), P. 212 - 212

Published: Jan. 9, 2024

Determining egg freshness is critical for ensuring food safety and security as such, different methods have been evaluated implemented to accurately measure predict it. In this study, a portable near-infrared (NIR) instrument combined with chemometrics was used monitor the storage time of eggs under two conditions—room temperature (RT) cold (CT) storage—from production systems: cage free-range. A total 700 samples were analyzed, using principal component analysis (PCA) partial least squares (PLS) regression analyze NIR spectra. The PCA score plot did not show any clear separation between from systems; however, some grouped according conditions. cross-validation statistics predicting follows: RT eggs, coefficient determination in cross validation (R2CV) 0.67, standard error (SECV) 7.64 days residual predictive deviation (RPD) 1.8; CT R2CV 0.84, SECV 5.38 RPD 3.2; free-range 0.83, 5.52 0.82, 5.61 days, 3.0. This study demonstrated that spectroscopy can non-destructively intact samples. Even though results present are promising, further research still needed extend these other systems, well explore potential technique quality parameters associated freshness.

Language: Английский

Citations

3
Cultural Barriers to Digital Innovation: Understanding the Impact of Gambling Culture on Chinese Firms DOI

Yiming Zhao,

Ren Aizhi,

Ziang Lin

et al.

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: June 19, 2024

Language: Английский

Citations

3