Strategies and Solutions for Effective Food Waste Management: Tackling Global Challenges

Food waste management is a critical global issue with significant environmental, economic, and social implications. Approximately one-third of global food production is lost or wasted annually, contributing to resource depletion, increased greenhouse gas emissions, and food insecurity. This article explores the causes of food waste across the food supply chain and discusses strategies for its prevention and reduction. It highlights the importance of the waste management hierarchy, emphasizing prevention, minimization, reuse, and recycling as key approaches. Additionally, the role of Artificial Intelligence (AI) in optimizing food waste management is explored, showcasing its potential in demand forecasting, quality control, shelf-life prediction, and smart inventory management. The article also examines the role of ISO standards in promoting sustainable practices. By adopting these strategies and leveraging technological innovations, the food industry can significantly reduce food waste, conserve resources, and contribute to a more sustainable and equitable food system.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-31
DOI
https://doi.org/10.5281/zenodo.14551597
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
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article

Strategies and Solutions for Effective Food Waste Management: Tackling Global Challenges

Zenodo (CERN European Organization for Nuclear Research)
Child Development and Digital Technology
article

Strategies and Solutions for Effective Food Waste Management: Tackling Global Challenges

article en

Abstract

Food waste management is a critical global issue with significant environmental, economic, and social implications. Approximately one-third of global food production is lost or wasted annually, contributing to resource depletion, increased greenhouse gas emissions, and food insecurity. This article explores the causes of food waste across the food supply chain and discusses strategies for its prevention and reduction. It highlights the importance of the waste management hierarchy, emphasizing prevention, minimization, reuse, and recycling as key approaches. Additionally, the role of Artificial Intelligence (AI) in optimizing food waste management is explored, showcasing its potential in demand forecasting, quality control, shelf-life prediction, and smart inventory management. The article also examines the role of ISO standards in promoting sustainable practices. By adopting these strategies and leveraging technological innovations, the food industry can significantly reduce food waste, conserve resources, and contribute to a more sustainable and equitable food system.

Zenodo (CERN European Organization for Nuclear Research)
Avinashilingam University (IN)
Responsible consumption and production
Openalex Percentile: Top 37%
Child Development and Digital Technology
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