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 …

The textile and clothing industry sector has today a big environmental impact, not only due to
the consumption of water and the use of toxic chemicals but also due to the increasing levels …

Today, the world faces a big challenge about food quality and safety. Consumers are
becoming more careful during their food choices, focusing on food information. Drawing on …

The main objective of the paper is to analyze and synthesize existing scientific literature
related to supply chain areas where machine learning (ML) has already been implemented …

Background: Digital and smart supply chains are reforming the food chain to help eliminate
waste, improve food safety, and reduce the possibility of a global food catastrophe. The …

This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC)
and identifies the strengths and weaknesses of this system. Since this paper is a review …

This research paper investigates the importance of traceability in the meat industry. It
explains that the global market's intense competition and consumers' increased …

The machine learning model has become a critical consideration in the supply chain. Most
of the companies have experienced various supply chain risks over the past three years …

Efficiency and sustainability are upending the global food supply system. The current study
examined the relationship between Artificial Intelligence (AI) and agriculture to optimize food …

Date palm cultivation is an essential part of Saudi Arabia's economy. However, it faces
several challenges: water scarcity, improper farm management, pests and diseases …