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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 …
Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: A systematic review
Food-borne diseases have a high worldwide occurrence, substantially impacting public
health and the social economy. Most food-borne diseases are contagious or poisonous and …
health and the social economy. Most food-borne diseases are contagious or poisonous and …
The potential application of artificial intelligence in veterinary clinical practice and biomedical research
Artificial intelligence (AI) is a fast-paced technological advancement in terms of its
application to various fields of science and technology. In particular, AI has the potential to …
application to various fields of science and technology. In particular, AI has the potential to …
Enhancing food integrity through artificial intelligence and machine learning: a comprehensive review
Herein, we examined the transformative potential of artificial intelligence (AI) and machine
learning (ML) as new fronts in addressing some of the pertinent challenges posed by food …
learning (ML) as new fronts in addressing some of the pertinent challenges posed by food …
[HTML][HTML] Advancing food security: the role of machine learning in pathogen detection
Abstract Machine Learning (ML) has emerged as an important advancement in pathogen
detection, particularly in the field of food safety. This paper reviews current advances and the …
detection, particularly in the field of food safety. This paper reviews current advances and the …
Predicting foodborne disease outbreaks with food safety certifications: econometric and machine learning analyses
Since the late 1990s, food safety certification has emerged as a prominent and influential
regulatory mechanism in both the private and public spheres of the contemporary agri-food …
regulatory mechanism in both the private and public spheres of the contemporary agri-food …
Review of visual analytics methods for food safety risks
Y Chen, C Wu, Q Zhang, D Wu - npj Science of Food, 2023 - nature.com
With the availability of big data for food safety, more and more advanced data analysis
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …
A data-driven approach for prioritising microbial and chemical hazards associated with dairy products using open-source databases
This study presents a data-driven approach for classifying food safety alerts related to
chemical and microbial contaminants in dairy products using the Rapid Alert System for …
chemical and microbial contaminants in dairy products using the Rapid Alert System for …
Simultaneous detection of Bacillus cereus and Staphylococcus aureus by teicoplanin functionalized magnetic beads combined with triplex PCR
X Bai, G Chen, Z Wang, G ** the future of food safety, agriculture and food security–a critical review
Artificial intelligence is an emerging technology which harbors a suite of mechanisms that
have the potential to be leveraged for rea** value across multiple domains. Lately, there is …
have the potential to be leveraged for rea** value across multiple domains. Lately, there is …