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.
Authors
- J.Y. Koo (ORCID: https://orcid.org/0000-0003-2476-9116)
- Ae‐Son Om (ORCID: https://orcid.org/0000-0002-9452-9647)
- Jisu Kim (ORCID: https://orcid.org/0000-0001-7019-3475)
- Jae Hyoun Kim
Institutions
- Hanyang University (KR)
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