articleJournal of Agriculture and Food ResearchApr 7, 2025GOLD OA

Artificial intelligence in food system: Innovative approach to minimizing food spoilage and food waste

University of Birmingham · Afe Babalola University · +5 more institutions

Indexed incrossrefdoaj

Abstract

Globally, about one-third of all food produced for human consumption is lost or wasted, compounding issues of food security, economic inefficiency, and environmental harm. Artificial Intelligence (AI) presents transformative potential to mitigate these losses by enhancing food spoilage predictions and optimizing supply chain management. This paper examines the deployment of AI technologies such as machine learning models, predictive analytics, and advanced algorithm in predicting food spoilage with high accuracy, thereby reducing food waste substantially. Key innovations highlighted include early detection systems for spoilage indicators, dynamic algorithms for optimal storage conditions, and predictive models…

Citation impact

42
total citations
FWCI
37.95
Percentile
100%
References
87
Citations per year

Authors

10

Topics & keywords

Keywords
  • Food spoilage
  • Food waste
  • Food systems
  • Food packaging
  • Food science
  • Business
  • Environmental science
  • Waste management
UN Sustainable Development Goals
  • Zero hunger
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