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 …

In recent years, the rapid increase in the global population, the challenges associated with
climate change, and the emergence of new pandemics have all become major threats to …

Technological advances such as blockchain, artificial intelligence, big data, social media,
and geographic information systems represent a building block of the digital transformation …

Abstract “Food processing 4.0” concept denotes processing food in the current digital era by
harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality …

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 …

Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial
intelligence (AI), and machine learning enabling better record-kee**, data analysis, and …

Background Non-biodegradable food packaging (mainly plastic) and food waste are two
major concerns that cause severe environmental and economic challenges as well as …

Technology is being developed to handle vast amounts of complex data from diverse
sources. The terms" Big Data" and" Decision Support Systems"(DSS) refer to computerised …

Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0)
technologies to ensure food authenticity, safety, and high food quality. Growing interest in …

Abstract Background The European Commission (EC) has launched the European Green
Deal communication, setting out the path for a fundamental transformation of Europe. Key …