A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2024 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

Digital transformation in toxicology: improving communication and efficiency in risk assessment

AV Singh, G Bansod, M Mahajan, P Dietrich… - ACS …, 2023 - ACS Publications
Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial
intelligence (AI), and machine learning enabling better record-kee**, data analysis, and …

A comprehensive review on deep learning algorithms: Security and privacy issues

M Tayyab, M Marjani, NZ Jhanjhi, IAT Hashem… - Computers & …, 2023 - Elsevier
Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

Material Breakthroughs in Smart Food Monitoring: Intelligent Packaging and On‐Site Testing Technologies for Spoilage and Contamination Detection

S Khan, JK Monteiro, A Prasad, CDM Filipe… - Advanced …, 2024 - Wiley Online Library
Despite extensive commercial and regulatory interventions, food spoilage and
contamination continue to impose massive ramifications on human health and the global …

[HTML][HTML] Implementing New Approach Methodologies (NAMs) in food safety assessments: Strategic objectives and actions taken by the European Food Safety …

I Cattaneo, MC Astuto, M Binaglia, Y Devos… - Trends in Food Science …, 2023 - Elsevier
Abstract Background New Approach Methodologies (NAMs) comprise in silico and in vitro
methods applied as alternative to animal testing. Even though NAMs are already fully …

Food traceability 4.0 as part of the fourth industrial revolution: key enabling technologies

A Hassoun, N Alhaj Abdullah… - Critical Reviews in …, 2024 - Taylor & Francis
Abstract Food Traceability 4.0 (FT 4.0) is about tracing foods in the era of the fourth industrial
revolution (Industry 4.0) with techniques and technologies reflecting this new revolution …

Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging …

W Mu, GA Kleter, Y Bouzembrak… - … Reviews in Food …, 2024 - Wiley Online Library
To enhance the resilience of food systems to food safety risks, it is vitally important for
national authorities and international organizations to be able to identify emerging food …

Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review

L Yi, W Wang, Y Diao, S Yi, Y Shang, D Ren… - TrAC Trends in …, 2024 - Elsevier
Food quality and safety (FQS) are crucial aspects of everyone's life and health. With the
rapidly advancing field of analytical sciences, there is a growing demand for intuitive …

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

M Guo, K Wang, H Lin, L Wang… - … Reviews in Food …, 2024 - Wiley Online Library
In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Robotization and intelligent digital systems in the meat cutting industry: from the perspectives of robotic cutting, perception, and digital development

W Xu, Y He, J Li, J Zhou, E Xu, W Wang… - Trends in Food Science & …, 2023 - Elsevier
Background Meat, as protein-rich food, provides essential nutrition to humans. Meat
consumption is expected to increase by 15% over the next decade, requiring the meat …