Recent advances in muscle food safety evaluation: Hyperspectral imaging analyses and applications

H Pu, Q Wei, DW Sun - Critical Reviews in Food Science and …, 2023 - Taylor & Francis
As there is growing interest in process control for quality and safety in the meat industry, by
integrating spectroscopy and imaging technologies into one system, hyperspectral imaging …

Molecular insights into quality and authentication of sheep meat from proteomics and metabolomics

R Zhang, E Pavan, AB Ross, S Deb-Choudhury… - Journal of …, 2023 - Elsevier
Sheep meat (encompassing lamb, hogget and mutton) is an important source of animal
protein in many countries, with a unique flavour and sensory profile compared to other red …

Progress and opportunities for machine learning in materials and processes of additive manufacturing

WL Ng, GL Goh, GD Goh, JSJ Ten… - Advanced …, 2024 - Wiley Online Library
In recent years, there has been widespread adoption of machine learning (ML) technologies
to unravel intricate relationships among diverse parameters in various additive …

Critical review and recent advances of emerging real-time and non-destructive strategies for meat spoilage monitoring

J Chen, J Zhang, N Wang, B ** a research agenda
T Fadiji, T Bokaba, OA Fawole… - Frontiers in Sustainable …, 2023 - frontiersin.org
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …

Extreme gradient boosting-enhanced molecularly imprinted fluorescence nanosensor for rapid identification and visual detection of deltamethrin in seawater and …

J You, G Hao, X Gan, R Chen, Y Chen, Z Zhang… - Sensors and Actuators B …, 2024 - Elsevier
Deltamethrin (DEL), a synthetic pyrethroid insecticide, may have long-term adverse effects
on the aquatic environment. Extreme Gradient Boosting (XGBoost) is a classic ensemble …

Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics

A Caratti, S Squara, C Bicchi, E Liberto… - TrAC Trends in …, 2024 - Elsevier
The unceasing evolution of analytical instrumentation determines an exponential increase of
data production, which in turn boosts new cutting-edge analytical challenges, requiring a …

(2+ 1) D Extreme Xception Net for Hyperspectral Image Classification

U Ghous, MS Sarfraz, M Ahmad, C Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
3-D CNNs have demonstrated their capability to capture intricate nonlinear relationships
within hyperspectral images (HSIs). However, the computational complexity of 3-D CNNs …

Sensor fusion techniques in deep learning for multimodal fruit and vegetable quality assessment: A comprehensive review

R Singh, R Nisha, R Naik, K Upendar, C Nickhil… - Journal of Food …, 2024 - Springer
Fruit and vegetable quality assessment is a critical task in agricultural and food industries,
impacting various stages from production to consumption. Leveraging deep learning …