Gebresenbet, Girma
- Institutionen för energi och teknik, Sveriges lantbruksuniversitet
Översiktsartikel2021Vetenskapligt granskadÖppen tillgång
Amentae, Tadesse Kenea; Gebresenbet, Girma
Achieving transition towards sustainable and resilient food systems is a critical issue on the current societal agenda. This study examined the potential contribution of digitalization of the food system to such transition by reviewing 76 relevant journal articles, indexed on the Scopus database, using the integrative literature review approach and descriptive content analysis with MAXQDA 2020 software. 'Blockchain' was the top hit among keywords and main concepts applied to the food system. The UK as a country and Europe as a continent were found to lead the scientific research on food system digitalization. Use of digital technologies such as blockchain, the Internet of Things, big-data analytics, artificial intelligence, and related information and communications technologies were identified as enablers. Traceability, sustainability, resilience to crises such as the COVID-19 pandemic, and reducing food waste were among the key benefit areas associated with digitalization for different food commodities. Challenges to practical applications related to infrastructure and cost, knowledge and skill, law and regulations, the nature of the technologies, and the nature of the food system were identified. Developing policies and regulations, supporting infrastructure development, and educating and training people could facilitate fuller digitalization of the food system.
agro-food supply chain management; blockchain; digitalization; IoT; sustainability; sustainable food system; traceability
Sustainability
2021, Volym: 13, nummer: 21, artikelnummer: 12181
Utgivare: MDPI
Food Waste
Avskaffa hunger, uppnå tryggad livsmedelsförsörjning och förbättrad nutrition samt främja ett hållbart jordbruk
Bygga motståndskraftig infrastruktur, verka för en inkluderande och hållbar industrialisering samt främja innovation
Säkerställa hållbara konsumtions- och produktionsmönster
Tvärvetenskapliga studier
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
DOI: https://doi.org/10.3390/su132112181
https://res.slu.se/id/publ/114465