Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review
Helen Onyeaka (),
Phemelo Tamasiga,
Uju Mary Nwauzoma,
Taghi Miri,
Uche Chioma Juliet,
Ogueri Nwaiwu and
Adenike A. Akinsemolu
Additional contact information
Helen Onyeaka: School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Uju Mary Nwauzoma: Faculty of Environmental Science, University of Nigeria, Enugu Campus 410001, Nigeria
Taghi Miri: School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Uche Chioma Juliet: Department of Urban and Regional Planning, University of Nigeria, Enugu Campus 410001, Nigeria
Ogueri Nwaiwu: School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Adenike A. Akinsemolu: Institute of Advanced Studies, University of Birmingham, Birmingham B15 2TT, UK
Sustainability, 2023, vol. 15, issue 13, 1-20
Abstract:
Food waste is a global issue with significant economic, social, and environmental impacts. Addressing this problem requires a multifaceted approach; one promising avenue is using artificial intelligence (AI) technologies. This article explores the potential for AI to tackle food waste and enhance the circular economy and discusses the current state of food waste and the circular economy, highlighting specific ways that AI can be used to monitor and optimise food production and supply chains, redistribute excess food to those in need, and support circular economy initiatives. As a result, we can maximise resource efficiency and minimise environmental impact with these applications, ultimately creating a more sustainable and equitable food system.
Keywords: food waste; circular economy; artificial intelligence; resource efficiency; sustainability; supply chain optimisation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:13:p:10482-:d:1186016
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