Application of artificial intelligence in food industry—a guideline

NR Mavani, JM Ali, S Othman, MA Hussain… - Food Engineering …, 2022 - Springer
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

Machine learning‐reinforced noninvasive biosensors for healthcare

K Zhang, J Wang, T Liu, Y Luo, XJ Loh… - Advanced Healthcare …, 2021 - Wiley Online Library
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …

Development of a low-cost e-nose to assess aroma profiles: An artificial intelligence application to assess beer quality

CG Viejo, S Fuentes, A Godbole, B Widdicombe… - Sensors and Actuators B …, 2020 - Elsevier
The assessment of aromas in beer is critical to assess its quality since it could be used as an
indicator of contamination or faults, which will directly influence consumers' acceptability …

Development of compact electronic noses: A review

L Cheng, QH Meng, AJ Lilienthal… - … Science and Technology, 2021 - iopscience.iop.org
An electronic nose (e-nose) is a measuring instrument that mimics human olfaction and
outputs' fingerprint'information of mixed gases or odors. Generally speaking, an e-nose is …

Emerging nondestructive approaches for meat quality and safety evaluation—A review

AY Khaled, CA Parrish, A Adedeji - Comprehensive Reviews in …, 2021 - Wiley Online Library
Meat is one of the most consumed agro‐products because it contains proteins, minerals,
and essential vitamins, all of which play critical roles in the human diet and health. Meat is a …

[HTML][HTML] Detection of fraud in sesame oil with the help of artificial intelligence combined with chemometrics methods and chemical compounds characterization by gas …

NS Aghili, M Rasekh, H Karami, V Azizi, M Gancarz - Lwt, 2022 - Elsevier
The majority of current approaches to identify adulterated edible vegetable oils are of limited
practical benefits because they require long analysis times, expensive equipment, and …

DWTLSTM for electronic nose signal processing in beef quality monitoring

DR Wijaya, R Sarno, E Zulaika - Sensors and Actuators B: Chemical, 2021 - Elsevier
The smart packaging system is needed to continuously monitor the quality of beef and
microbial population for both the meat industries as well as end consumers. Moreover …

Integrating a low-cost electronic nose and machine learning modelling to assess coffee aroma profile and intensity

C Gonzalez Viejo, E Tongson, S Fuentes - Sensors, 2021 - mdpi.com
Aroma is one of the main attributes that consumers consider when appreciating and
selecting a coffee; hence it is considered an important quality trait. However, the most …

Sniffing out adulteration in saffron: Detection methods and health risks

A Raina, S Kaul, MK Dhar - Food Control, 2024 - Elsevier
Saffron, the golden spice, is a medicinally and economically important crop that is used in a
variety of cuisines to add colour, taste and aroma. Being the costliest spice, saffron is …

Dedicated non-destructive devices for food quality measurement: A review

S Abasi, S Minaei, B Jamshidi, D Fathi - Trends in Food Science & …, 2018 - Elsevier
The quality of agricultural products is of high importance in terms of consumer interest,
determining market acceptance, and thus, directly affects storage and post-harvest …