AIMC Topic: Food Safety
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Application of machine vision in food computing: A review.
Food chemistry
Sep 23, 2024
With global intelligence advancing and the awareness of sustainable development growing, artificial intelligence technology is increasingly being applied to the food industry. This paper, grounded in practical application cases, reviews the current r...
Progress of machine learning-based biosensors for the monitoring of food safety: A review.
Biosensors & bioelectronics
Sep 12, 2024
Rapid urbanization and growing food demand caused people to be concerned about food safety. Biosensors have gained considerable attention for assessing food safety due to selectivity, and sensitivity but poor stability inherently limits their applica...
Machine learning-enabled colorimetric sensors for foodborne pathogen detection.
Advances in food and nutrition research
Jun 29, 2024
In the past decade, there have been various advancements to colorimetric sensors to improve their potential applications in food and agriculture. One application of growing interest is sensing foodborne pathogens. There are unique considerations for ...
Frontiers of machine learning in smart food safety.
Advances in food and nutrition research
Jun 22, 2024
Integration of machine learning (ML) technologies into the realm of smart food safety represents a rapidly evolving field with significant potential to transform the management and assurance of food quality and safety. This chapter will discuss the c...
Ensuring food safety by artificial intelligence-enhanced nanosensor arrays.
Advances in food and nutrition research
Jun 18, 2024
Current analytical methods utilized for food safety inspection requires improvement in terms of their cost-efficiency, speed of detection, and ease of use. Sensor array technology has emerged as a food safety assessment method that applies multiple c...
Preface to the special issue of Food and Chemical Toxicology on "New approach methodologies and machine learning in food safety and chemical risk assessment: Development of reproducible, open-source, and user-friendly tools for exposure, toxicokinetic, and toxicity assessments in the 21st century".
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Jun 8, 2024
This Special Issue contains articles on applications of various new approach methodologies (NAMs) in the field of toxicology and risk assessment. These NAMs include in vitro high-throughput screening, quantitative structure-activity relationship (QSA...
Random forest models of food safety behavior during the COVID-19 pandemic.
International journal of environmental health research
May 17, 2024
Machine learning approaches are increasingly being adopted as data analysis tools in scientific behavioral predictions. This paper utilizes a machine learning approach, Random Forest Model, to determine the top prediction variables of food safety beh...
Classification and Prediction of Food Safety Policy Tools in China Based on Machine Learning.
Journal of food protection
Apr 12, 2024
Governments use policy interventions to mitigate food safety risks. Despite its crucial role, empirical studies evaluating the effectiveness of China's food safety policy tools are scarce. Drawing on a dataset encompassing 11,236 food safety policy t...
Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting.
Analytical chemistry
Mar 7, 2024
Accurate and rapid differentiation and authentication of agricultural products based on their origin and quality are crucial to ensuring food safety and quality control. However, similar chemical compositions and complex matrices often hinder precise...
An ensemble of AHP-EW and AE-RNN for food safety risk early warning.
PloS one
Apr 26, 2023
Food safety problems are becoming increasingly severe in modern society, and establishing an accurate food safety risk warning and analysis model is of positive significance in avoiding food safety accidents. We propose an algorithmic framework that ...
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