Ahmadzadeh, Sahar, Tahmina, Ajmal, Eamakrishnan, Ramanathan and Yanqing, Duan (2023) A Comprehensive Review on Food Waste Reduction Based on IoT and Big Data Technologies. Sustainability.
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Abstract
Food 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.
| Item Type: | Article |
|---|---|
| Status: | Published |
| DOI: | 10.3390/su15043482 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| School/Department: | London Campus |
| URI: | https://ray.yorksj.ac.uk/id/eprint/14052 |
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