[HTML][HTML] The application of artificial intelligence and big data in the food industry

H Ding, J Tian, W Yu, DI Wilson, BR Young, X Cui… - Foods, 2023 - mdpi.com
Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …

Modern trends in hyperspectral image analysis: A review

MJ Khan, HS Khan, A Yousaf, K Khurshid… - Ieee …, 2018 - ieeexplore.ieee.org
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …

[HTML][HTML] Assessment of moisture content measurement methods of dried food products in small-scale operations in develo** countries: A review

MV Zambrano, B Dutta, DG Mercer, HL MacLean… - Trends in Food Science …, 2019 - Elsevier
Background Moisture-related microbial growth is a key factor contributing to food spoilage in
develo** countries. Dehydration or drying of food reduces the moisture content supporting …

Modelling techniques to improve the quality of food using artificial intelligence

V Sahni, S Srivastava, R Khan - Journal of Food Quality, 2021 - Wiley Online Library
Artificial intelligence (AI), or AI/machine vision, is assuming an overwhelming part in the
realm of food handling and quality affirmation. As indicated by Mordor Intelligence, AI in the …

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

D Wu, DW Sun - Innovative Food Science & Emerging Technologies, 2013 - Elsevier
By integrating two classical optical sensing technologies of imaging and spectroscopy into
one system, hyperspectral imaging can provide both spatial and spectral information …

Hyperspectral and multispectral imaging for evaluating food safety and quality

J Qin, K Chao, MS Kim, R Lu, TF Burks - Journal of Food Engineering, 2013 - Elsevier
Spectral imaging technologies have been developed rapidly during the past decade. This
paper presents hyperspectral and multispectral imaging technologies in the area of food …

Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review

G Elmasry, M Kamruzzaman, DW Sun… - Critical reviews in food …, 2012 - Taylor & Francis
The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for
quality assessment of food products encouraged the development of non-destructive …

Hyperspectral imaging–an emerging process analytical tool for food quality and safety control

AA Gowen, CP O'Donnell, PJ Cullen, G Downey… - Trends in food science & …, 2007 - Elsevier
Hyperspectral imaging (HSI) is an emerging platform technology that integrates
conventional imaging and spectroscopy to attain both spatial and spectral information from …

Recent developments in hyperspectral imaging for assessment of food quality and safety

H Huang, L Liu, MO Ngadi - Sensors, 2014 - mdpi.com
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly
gaining ground as a non-destructive, real-time detection tool for food quality and safety …

[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 …