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

Year: 2025

Type: article

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.

Source: Food Supplements and Biomaterials for Health

DOI: 10.52361/fsbh.2025.5.e11

Authors: Jae Hyoun Kim, Ji-Yeon Koo, Ji-Su Kim, Ae-Son Om

Institution: Hanyang University

Language: English

Topic: Food Supply Chain Traceability

Subfield: Food Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4411680956