Augmented reality for food quality assessment: Bridging the physical and digital worlds

JT Liberty, S Sun, C Kucha, AA Adedeji, G Agidi… - Journal of Food …, 2024 - Elsevier
Augmented Reality (AR) is revolutionizing technology that has found applications in food
quality and safety assessment as related to addressing challenges in traditional methods …

The impact of high-quality data on the assessment results of visible/near-infrared hyperspectral imaging and development direction in the food fields: a review

H Xu, J Ren, J Lin, S Mao, Z Xu, Z Chen, J Zhao… - Journal of Food …, 2023 - Springer
Over the past decades, food quality and safety have seriously been disturbing public health.
Traditional monitoring methods of food-quality evaluation have been time consuming and …

Precision variety identification of shelled and in-shell pecans using hyperspectral imaging with machine learning

E Olaniyi, C Kucha, P Dahiya, A Niu - Infrared Physics & Technology, 2024 - Elsevier
Pecans are essential nuts containing polyunsaturated fatty acids and dietary fiber which
offer health benefits to humans. They are exported and sold in both in-shell and shelled …

Detection of moisture content and size of pumpkin seeds based on hyperspectral reflection and transmission imaging techniques

H Yin, B Xie, B Chen, J Ma, J Chen, Y Zhou… - Journal of Food …, 2023 - Elsevier
Moisture content and size can affect the vigor and weight of pumpkin seeds, where vigor is
the key to evaluating seed quality, and weight is an important characteristic of the seeds …

Visible and near-infrared spectral imaging combined with robust regression for predicting firmness, fatness, and compositional properties of fresh pork bellies

M Albano-Gaglio, P Mishra, SW Erasmus, JF Tejeda… - Meat Science, 2025 - Elsevier
Belly is a widely consumed pork product with very variable properties. Meat industry needs
real-time quality assessment for maintaining superior pork quality throughout the production …

[HTML][HTML] Combination of spectral and textural features of hyperspectral imaging for the authentication of the diet supplied to fattening cattle

S León-Ecay, K Insausti, S Arazuri, I Goenaga… - Food Control, 2024 - Elsevier
This study explored the potential of hyperspectral imaging in the near infrared region (NIR-
HSI) as a non-destructive and rapid tool to discriminate among two beef fattening diets. For …

Application of hyperspectral technology combined with genetic algorithm to optimize convolution long-and short-memory hybrid neural network model in soil moisture …

H Wang, L Zhang, J Zhao, X Hu, X Ma - Applied Sciences, 2022 - mdpi.com
A method of soil moisture and organic matter content detection based on hyperspectral
technology is proposed. A total of 800 different soil samples and hyperspectral data were …

Hyperspectral imaging and chemometrics assessment of intramuscular fat in pork Longissimus thoracic et lumborum primal cut

CT Kucha, L Liu, M Ngadi, C Gariépy - Food Control, 2023 - Elsevier
To assess the intramuscular fat (IMF) of Longissimus thoracis et lumborum (LTL) primal cut
excised from an animal carcass, rib sections are dissected for chemical or subjective …

Fusion of spectral and textural data of hyperspectral imaging for glycine content prediction in beef using SFCN algorithms

Y Lv, F Dong, J Cui, J Hao, R Luo, S Wang… - Food Analytical …, 2023 - Springer
Glycine, the simplest free amino acid. It is one of the important factors affecting the flavor of
beef. In this study, a fast and non-destructive method combining near-infrared hyperspectral …

[HTML][HTML] Challenges and future perspectives for the European grading of pig carcasses–A quality view

M Čandek-Potokar, B Lebret, M Gispert… - Meat Science, 2024 - Elsevier
This study sought to evaluate pig carcass grading, describing the existing approaches and
definitions, and highlighting the vision for overall quality grading. In particular, the current …