A comprehensive review on food waste reduction based on IoT and Big Data technologies
Internet of Things (IoT)
Subject Categories::D690 Food studies not elsewhere classified
MetadataShow full item record
AbstractFood waste reduction, as a major application area of the Internet of Things (IoT) and big data technologies, has become one of the most pressing issues. In recent years, there has been an unprecedented increase in food waste, which has had a negative impact on economic growth in many countries. Food waste has also caused serious environmental problems. Agricultural production, post-harvest handling, and storage, as well as food processing, distribution, and consumption, can all lead to food wastage. This wastage is primarily caused by inefficiencies in the food supply chain and a lack of information at each stage of the food cycle. In order to minimize such effects, the Internet of Things, big data-based systems, and various management models are used to reduce food waste in food supply chains. This paper provides a comprehensive review of IoT and big data-based food waste management models, algorithms, and technologies with the aim of improving resource efficiency and highlights the key challenges and opportunities for future research.
CitationAhmadzadeh S, Ajmal T, Ramanathan R, Duan Y (2023) 'A comprehensive review on food waste reduction based on IoT and Big Data technologies', Sustainability, 15 (4), pp.3482-.
SponsorsThis research reported in this paper is based on the work done in the REAMIT project (www.reamit.eu, accessed on 1 December 2022) funded by the Interreg North-West Europe (ref NWE831).
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International