Role of Artificial Intelligence (AI) and Machine Learning (ML) in Food Safety and Quality Improvement

Artificial intelligence (AI) and machine learning (ML) are transforming food processing by enhancing safety, detecting foodborne pathogens and contaminants, improving quality control, and optimizing supply chains.These technologies enable faster, data-driven decision-making, addressing food security challenges while promoting sustainability.Over the past decade, AI and ML have significantly advanced food safety management, from contamination detection to supply chain optimization.This review explores AI's contributions to efficiency and sustainability in the food sector, examining key advancements, challenges, and future prospects.By analyzing successful applications, the study highlights how AI, ML, and big data can enhance decision-making and drive sustainable food security.

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Publication Details

Journal
Food Supplements and Biomaterials for Health
Published
2025-01-01
DOI
https://doi.org/10.52361/fsbh.2025.5.e11
Citations
2
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
2.32
Controls
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article

Role of Artificial Intelligence (AI) and Machine Learning (ML) in Food Safety and Quality Improvement

J.Y. Koo, Ae‐Son Om, Jisu Kim, Jae Hyoun Kim
2 citations
Food Supplements and Biomaterials for Health
Food Supply Chain Traceability
2.32
article

Role of Artificial Intelligence (AI) and Machine Learning (ML) in Food Safety and Quality Improvement

J.Y. Koo, Ae‐Son Om, Jisu Kim, Jae Hyoun Kim
article en
2 citations

Abstract

Artificial intelligence (AI) and machine learning (ML) are transforming food processing by enhancing safety, detecting foodborne pathogens and contaminants, improving quality control, and optimizing supply chains.These technologies enable faster, data-driven decision-making, addressing food security challenges while promoting sustainability.Over the past decade, AI and ML have significantly advanced food safety management, from contamination detection to supply chain optimization.This review explores AI's contributions to efficiency and sustainability in the food sector, examining key advancements, challenges, and future prospects.By analyzing successful applications, the study highlights how AI, ML, and big data can enhance decision-making and drive sustainable food security.

Food Supplements and Biomaterials for HealthVol. 5(2)
Hanyang University (KR)
Zero hunger
Openalex Percentile: Top 12%
Food Supply Chain Traceability
2.32
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Role of Artificial Intelligence (AI) and Machine Learning (ML) in Food Safety and Quality Improvement — J.Y. Koo, Ae‐Son Om, et al. · Food Supplements and Biomaterials for Health (2025) | TGRS Research Map | TGRS