Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment

KB Chhetri - Food Engineering Reviews, 2024 - Springer
To ensure food safety and uphold high standards, the food business must overcome
significant obstacles. In recent years, promising answers to these issues have emerged in …

Towards design and implementation of Industry 4.0 for food manufacturing

S Konur, Y Lan, D Thakker, G Morkyani… - Neural Computing and …, 2023 - Springer
Today's factories are considered as smart ecosystems with humans, machines and devices
interacting with each other for efficient manufacturing of products. Industry 4.0 is a suite of …

Anomaly score-based risk early warning system for rapidly controlling food safety risk

E Zuo, X Du, A Aysa, X Lv, M Muhammat, Y Zhao… - Foods, 2022 - mdpi.com
Food safety is a high-priority issue for all countries. Early warning analysis and risk control
are essential for food safety management practices. This paper innovatively proposes an …

Fire: interactive visual support for parameter space-driven rule mining

A Mukherji, X Lin, J Whitehouse, CR Botaish… - Proceedings of the …, 2013 - dl.acm.org
While significant strides have been made on efficient association rule mining, the usability of
mining systems woefully lags behind. In particular, the usability of rule mining systems is …

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks

A Brintrup, E Kosasih, P Schaffer, G Zheng… - … Journal of Production …, 2024 - Taylor & Francis
Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …

Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application

A Orriols-Puig, FJ Martínez-López, J Casillas… - Industrial Marketing …, 2013 - Elsevier
To be competitive in contemporary turbulent environments, firms must be capable of
processing huge amounts of information, and effectively convert it into actionable …

Machine learning application in food safety, production, and quality

M Kaviani, R Dara, JM Farber - Harnessing Big Data in Food Safety, 2022 - Springer
The demand for high-quality food and low-cost production has increased the need to
automate and optimize supply chain processes. The recent trends in emerging artificial …

[PDF][PDF] Data mining applied in food trade network

A Massaro, G Dipierro, A Saponaro… - International Journal of …, 2020 - researchgate.net
The proposed study deals with the design and the development of a Decision Support
System (DSS) platform suitable for the global distribution system (GDS). Precisely, the …

An association rule mining approach to discover demand and supply patterns based on Thai social media data

T Tanantong, S Ramjan - … of Knowledge and Systems Science (IJKSS …, 2021 - igi-global.com
In the digital age, social media technology has an important role as a communication
platform for interpersonal interactions in the online virtual world. In addition, social media …

Mining association rules for quality related data in an electronics company

Y Kılınç - 2009 - open.metu.edu.tr
Quality has become a central concern as it has been observed that reducing defects will
lower the cost of production. Hence, companies generate and store vast amounts of quality …