Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table

IF 15.1 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Trends in Food Science & Technology Pub Date : 2025-02-17 DOI:10.1016/j.tifs.2025.104925

Zhaolong Liu , Xinlei Yu , Nan Liu , Cuiling Liu , Ao Jiang , Lanzhen Chen

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引用次数: 0

Abstract

Background

Ensuring the authenticity and traceability of food is fundamental to reducing food fraud, safeguarding public health, and fostering consumer trust—cornerstones of global food safety. As food supply chains grow increasingly complex, artificial intelligence (AI), in conjunction with the Internet of Things (IoT) and blockchain, plays a pivotal role in enhancing detection accuracy, improving transparency, and addressing critical challenges in food traceability.

Scope and approach

This paper provided a comprehensive review of AI applications in food safety, focusing on spectroscopy, mass spectrometry, imaging, and sensor-based detection. It also examined the integration of AI with IoT and blockchain, highlighting their potential in building safe, transparent, and scalable traceability frameworks. Furthermore, the study explored how this integrated framework advanced Food Industry 4.0, driving automation, real-time monitoring, and interconnected supply chains. Finally, the paper discussed current challenges and offered perspectives on advancing AI-driven systems for food authenticity detection and traceability.

Key findings and conclusions

Meanwhile, the convergence of AI, IoT, and blockchain has facilitated cross-platform compatibility and scalability, optimized supply chain data collection, and strengthened the security of traceability information. The rapid advancement of the AI-IoT-blockchain framework is driving the evolution of Food Industry 4.0, fostering advancements in high-precision analysis, automation, cost-effectiveness, and quality control, thereby enhancing food safety and transparency.

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来源期刊

Trends in Food Science & Technology 工程技术-食品科技

CiteScore

32.50

自引率

2.60%

发文量

322

审稿时长

37 days

期刊介绍： Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry. Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.