Food loss and waste reduction by using Industry 4.0 technologies: examples of promising strategies

Date published

2025-01-06

Free to read from

2025-04-09

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Oxford University Press (OUP)

Department

Type

Article

ISSN

0950-5423

Format

Citation

Arshad RN, Abdul-Malek Z, Parra-López C, et al., (2025) Food loss and waste reduction by using Industry 4.0 technologies: examples of promising strategies. International Journal of Food Science and Technology, Volume 60, Issue 1, January 2025, Article number vvaf034

Abstract

Food loss and waste (FLW) represent a significant global issue, posing a threat to food sustainability on a worldwide scale. However, the growing awareness among consumers and the development of emerging technologies driven by the Fourth Industrial Revolution (Industry 4.0) present numerous opportunities to reduce FLW. This article provides a comprehensive examination of recently developed strategies for reducing FLW. The role of Industry 4.0 technologies, such as the Internet of Things, artificial intelligence, cloud computing, blockchain, and big data, is highlighted through examples of various promising initiatives. The results of this analysis show that the application of digital technologies to address the issue of FLW is on the rise globally, with Industry 4.0 technologies revolutionising many sectors, including the food sector. Further research is necessary, and closer collaboration between producers, distributors, consumers, and other actors involved in the food supply chain is still required to reduce FLW further.

Description

Software Description

Software Language

Github

Keywords

30 Agricultural, Veterinary and Food Sciences, 3006 Food Sciences, Food Science, 3006 Food sciences, 3210 Nutrition and dietetics, 4004 Chemical engineering, Industry 4.0, digital technologies, food waste, food loss, food supply chain

DOI

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Attribution 4.0 International

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Relationships

Resources

Funder/s

‘Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship’ with Grant agreement ID: 101052284.