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AI-Driven Optimization and Blockchain-Based Traceability for Green Food Supply Chain Safety and Transparency

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成果类型:
期刊论文
作者:
Liu, Wen;Li, Dexian
作者机构:
[Liu, Wen; Li, Dexian] College of Public Administration and Law, Hunan Agricultural University, Changsha, China
语种:
英文
关键词:
artificial intelligence;Green Food;Quality and safety traceability;Density clustering algorithm;Blockchain technology
期刊:
Frontiers in Sustainable Food Systems
ISSN:
2571-581X
年:
2025
卷:
9
页码:
1597500
机构署名:
本校为第一机构
院系归属:
公共管理与法学学院
摘要:
Introduction: Ensuring the quality and safety of green food throughout the supply chain has become increasingly critical due to growing consumer concerns and the complexity of food systems. Traditional approaches often suffer from information asymmetry and poor traceability. This study addresses these challenges by integrating artificial intelligence (AI) and blockchain technology (BCT) to enhance transparency, traceability, and early warning capabilities in green food supply chains. Methods: A two-part technical framework is developed. First, ...

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