The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies
A Hassoun, A Aït-Kaddour… - Critical Reviews in …, 2023 - Taylor & Francis
Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …
the risk of new disease or pandemic outbreaks are examples of the many challenges that …
A step forward in food science, technology and industry using artificial intelligence
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 …
science play also a significant role in the world. So, food science, food technology, food …
Hybrid quantum–classical generative adversarial networks for image generation via learning discrete distribution
It has been reported that quantum generative adversarial networks have a potential
exponential advantage over classical generative adversarial networks. However, quantum …
exponential advantage over classical generative adversarial networks. However, quantum …
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
Application of machine learning to the monitoring and prediction of food safety: A review
Abstract Machine learning (ML) has proven to be a useful technology for data analysis and
modeling in a wide variety of domains, including food science and engineering. The use of …
modeling in a wide variety of domains, including food science and engineering. The use of …
Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and Minimising environmental impact: A review
Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …
Addressing this problem requires a multifaceted approach; one promising avenue is using …
Artificial intelligence in food safety: A decade review and bibliometric analysis
Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
Material Breakthroughs in Smart Food Monitoring: Intelligent Packaging and On‐Site Testing Technologies for Spoilage and Contamination Detection
Despite extensive commercial and regulatory interventions, food spoilage and
contamination continue to impose massive ramifications on human health and the global …
contamination continue to impose massive ramifications on human health and the global …
How can AI help improve food safety?
With advances in artificial intelligence (AI) technologies, the development and
implementation of digital food systems are becoming increasingly possible. There is …
implementation of digital food systems are becoming increasingly possible. There is …
Ensuring food safety using fluorescent nanoparticles-based immunochromatographic test strips
Background Immunochromatographic test strip (ICTS) has become one of the most widely
used rapid diagnostics platforms for the point-of-care testing of various contaminant residues …
used rapid diagnostics platforms for the point-of-care testing of various contaminant residues …