Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review
Abstract Artificial intelligence is emerging as a transformative force in addressing the multifaceted challenges of food safety, food quality, and food security. This review synthesizes advancements in AI-driven technologies, such as machine learning, deep learning, natural language processing, and computer vision, and their applications across the food supply chain, based on a comprehensive analysis of literature published from 1990 to 2024. AI enhances food safety through real-time contamination detection, pre…
AI-driven real-time contamination detection, automated defect detection, and resource-efficient agriculture techniques improved food safety, quality consistency, and security by reducing public health risks and optimizing shelf-life and supply chains.
Review identifies persistent barriers including data limitations, model generalizability, and ethical concerns that constrain deployment, plus research gaps in transparency and decision-making.
Evidence
- Peer-reviewedDiscover Applied Sciences2025-01-11
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Truvace Impact Record TRV-2026-0547, v1: “Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review.” Truvace, 2026-07-24. /record/TRV-2026-0547 (accessed at citation time). sha256 e14d4243d7e9cb36…
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