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2. Artificial intelligence applications in the agrifood sectors
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Kutyauripo, Innocent (author), Rushambwa, Munyaradzi (author), and Chiwazi, Lyndah (author)
- Format:
- Journal article
- Publication Date:
- 2023-01-06
- Published:
- Netherlands: Elsevier B.V.
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12818
- Journal Title:
- Journal of Agriculture and Food Research
- Journal Title Details:
- Vol. 11
- Notes:
- 8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.