Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review-Reference-Cited by-同舟云学术

Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review

Published:2023-07-03 Issue:13 Volume:15 Page:10482
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Onyeaka Helen¹^ORCID,Tamasiga Phemelo²^ORCID,Nwauzoma Uju Mary³,Miri Taghi¹^ORCID,Juliet Uche Chioma⁴,Nwaiwu Ogueri¹^ORCID,Akinsemolu Adenike A.⁵

Affiliation:

1. School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

2. Public Policy in Africa Initiative, Yaounde, Cameroon

3. Faculty of Environmental Science, University of Nigeria, Enugu Campus 410001, Nigeria

4. Department of Urban and Regional Planning, University of Nigeria, Enugu Campus 410001, Nigeria

5. Institute of Advanced Studies, University of Birmingham, Birmingham B15 2TT, UK

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.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Link

https://www.mdpi.com/2071-1050/15/13/10482/pdf

Reference123 articles.

1. Mganga, P.P., Syafrudin, S., and Amirudin, A. (2021). Students’ Awareness on Food Waste Problems and their Behaviour towards Food Wastage: A Case Study of Diponegoro University (Undip)-Tembalang Campus. [Master’s Thesis, School of Postgraduate Studies, Diponegoro University].

2. Gustavsson, J., Cederberg, C., and Sonesson, U. (2011, January 16–17). Global Food Losses and Food Waste: Extent, Causes, and Prevention. Proceedings of the Study Conducted for the International Congress Save Food, at Interpack 2011, Düsseldorf, Germany.

3. FAO (2011). Global Food Losses and Food Waste—Extent, Causes and Prevention, FAO ONU.

4. Lost Food, Wasted Resources: Global food supply chain losses and their impacts on freshwater, cropland and fertilizer Use;Kummu;Sci. Total Environ.,2012

5. United Nations (2023, March 27). UNEP Food Waste Index Report. Available online: http://www.unep.org/resources/report/unep-foodwaste-index-report-2021.

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