Advances in machine learning and hyperspectral imaging in the food supply chain

Z Kang, Y Zhao, L Chen, Y Guo, Q Mu… - Food Engineering …, 2022 - Springer
Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …

Rancidity and moisture estimation in shelled almond kernels using NIR hyperspectral imaging and chemometric analysis

BK Panda, G Mishra, WA Ramirez, H Jung… - Journal of Food …, 2022 - Elsevier
The current work focused on rapid and non-destructive determination of moisture content
(MC), free fatty acids (FFA) and peroxide value (PV) in shelled almonds, using reflectance …

Determination of adulteration in wheat flour using multi-grained cascade forest-related models coupled with the fusion information of hyperspectral imaging

L Zheng, Q Bao, S Weng, J Tao, D Zhang… - … Acta Part A: Molecular …, 2022 - Elsevier
Wheat flour (WF) is a common ingredient in staple foods. However, the presence of
intentional or unintentional adulterants makes it difficult to guarantee WF quality. Multi …

Quantitative detection of benzoyl peroxide in wheat flour using line-scan short-wave infrared hyperspectral imaging

G Kim, H Lee, I Baek, BK Cho, MS Kim - Sensors and Actuators B …, 2022 - Elsevier
The addition of benzol peroxide (BPO) to wheat flour as a bleaching agent has been widely
recognized as an important food safety issue due to its negative effects on human health. To …

Non-destructive prediction of protein contents of soybean seeds using near-infrared hyperspectral imaging

R Aulia, Y Kim, HZ Amanah, AMA Andi, H Kim… - Infrared physics & …, 2022 - Elsevier
Protein content is one of the most crucial factors in soybean quality. However, the breeding
procedure necessitates the time-consuming and costly selection of elite genotypes from …

Field Application of a Vis/NIR hyperspectral imaging system for nondestructive evaluation of physicochemical properties in 'Madoka'peaches

KE Jang, G Kim, MH Shin, JG Cho, JH Jeong, SK Lee… - Plants, 2022 - mdpi.com
Extensive research has been performed on the in-field nondestructive evaluation (NDE) of
the physicochemical properties of 'Madoka'peaches, such as chromaticity (a*), soluble solids …

[HTML][HTML] Authenticity of almond flour using handheld near infrared instruments and one class classifiers

JM Netto, FA Honorato, PG Celso… - Journal of Food …, 2023 - Elsevier
Almonds (Prunus dulcis) are highly nutritious fruit seeds and are widely consumed, mainly in
powder form (flour). With considerable economic value, this product has become a …

[HTML][HTML] Rapid analysis technologies with chemometrics forfood authenticity field: A review

Z Zhang, Y Li, S Zhao, M Qie, L Bai, Z Gao… - Current Research in …, 2024 - Elsevier
In recent years, the problem of food adulteration has become increasingly rampant,
seriously hindering the development of food production, consumption, and management …

Near-infrared hyperspectral imaging (NIR-HSI) for nondestructive prediction of anthocyanins content in black rice seeds

HZ Amanah, C Wakholi, M Perez, MA Faqeerzada… - Applied Sciences, 2021 - mdpi.com
Anthocyanins are an important micro-component that contributes to the quality factors and
health benefits of black rice. Anthocyanins concentration and compositions differ among rice …

Machine learning-assisted near-infrared spectroscopy for rapid discrimination of apricot kernels in ground almond

A Menevseoglu, JA Entrenas, N Gunes, MA Dogan… - Food Control, 2024 - Elsevier
Almonds are one of the most widely consumed seeds in the world, both for their taste and for
their high nutritional value. A rapid and non-destructive method to detect adulteration of …