Mon, May 25, 2026
[Archive]
Volume 11, Issue 2 (May 2026)
JNFS 2026, 11(2): 166-168 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Marzban A, Emami P, Dowlati M. Artificial Intelligence in Food Safety: Applications and Opportunities. JNFS 2026; 11 (2) :166-168
URL: http://jnfs.ssu.ac.ir/article-1-1359-en.html
URL: http://jnfs.ssu.ac.ir/article-1-1359-en.html
Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
Abstract: (541 Views)
The global food industry faces increasing pressure to ensure high standards of safety, sustainability, and consumer satisfaction (Marzban and Sadeghi-Nodoushan, 2025). As expectations grow, traditional food quality assurance methods struggle to keep pace with the complexity and scale of modern production (Marzban et al., 2023). Artificial intelligence (AI) emerged as a revolutionary force, reshaping the way food quality is monitored, assessed, and controlled (Marzban et al., 2023). By integrating AI-driven technologies, manufacturers and regulatory bodies can enhance efficiency, minimize risks, and implement predictive solutions that were once considered unattainable (Emami and Marzban, 2023).
Keywords: Artificial intelligence, food quality assurance, sensory evaluation, predictive analytics, sustainability
Type of article: letter to the editor |
Subject:
public specific
Received: 2025/06/4 | Published: 2026/05/30 | ePublished: 2026/05/30
Received: 2025/06/4 | Published: 2026/05/30 | ePublished: 2026/05/30
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
