Recent advances in wavelength selection techniques for hyperspectral image processing in the food industry

D Liu, DW Sun, XA Zeng - Food and Bioprocess Technology, 2014 - Springer
During the past decade, hyperspectral imaging (HSI) has been rapidly develo** and
widely applied in the food industry by virtue of the use of chemometric techniques in which …

Applications of non-destructive technologies for agricultural and food products quality inspection

HS El-Mesery, H Mao, AEF Abomohra - Sensors, 2019 - mdpi.com
The quality and safety of food is an increasing concern for worldwide business. Non-
destructive methods (NDM), as a means of assessment and instrumentation have created an …

Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning

M Kamruzzaman, Y Makino, S Oshita - Journal of Food Engineering, 2016 - Elsevier
The main objective of this study was to evaluate the potential of visible near-infrared (VNIR)
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—Part II: Applications

D Wu, DW Sun - Innovative Food Science & Emerging Technologies, 2013 - Elsevier
In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive
and fast quality and safety analysis and assessment method for a wide range of food …

[HTML][HTML] What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed?–Spectroscopy …

TF McGrath, SA Haughey, J Patterson… - Trends in Food Science …, 2018 - Elsevier
Background The authenticity of foodstuffs and associated fraud has become an important
area. It is estimated that global food fraud costs approximately $ US49b annually. In relation …

Review of validation and reporting of non-targeted fingerprinting approaches for food authentication

J Riedl, S Esslinger, C Fauhl-Hassek - Analytica Chimica Acta, 2015 - Elsevier
Food fingerprinting approaches are expected to become a very potent tool in authentication
processes aiming at a comprehensive characterization of complex food matrices. By non …

Fast quantification of total volatile basic nitrogen (TVB-N) content in beef and pork by near-infrared spectroscopy: Comparison of SVR and PLS model

T Leng, F Li, Y Chen, L Tang, J **e, Q Yu - Meat Science, 2021 - Elsevier
With application of PLS regression and SVR, quantitation models of near infrared diffuse
reflectance spectroscopy were established for the first time to predict the content of volatile …

Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat

M Al-Sarayreh, MM Reis, WQ Yan, R Klette - Food Control, 2020 - Elsevier
In the meat industry, ensuring product authenticity is important due to its impact on human
diet, processing chain as well as for ensuring fair trade practices. This study aims at …

Quantifying and predicting meat and meat products quality attributes using electromagnetic waves: An overview

JL Damez, S Clerjon - Meat science, 2013 - Elsevier
The meat industry needs reliable meat quality information throughout the production process
in order to guarantee high-quality meat products for consumers. Besides laboratory …

Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with …

AI Ropodi, EZ Panagou, GJE Nychas - Trends in Food Science & …, 2016 - Elsevier
Background Food quality, safety and authenticity are important issues for consumers,
governments, as well as the food industry. In the last decade, several researchers have …