Blockchain Token-Based Wild-Simulated Ginseng Quality Management Method

Autor: Youngjun Sung, Sunghyun Yu, Yoojae Won
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Sensors, Vol 22, Iss 14, p 5153 (2022)
Druh dokumentu: article
ISSN: 1424-8220
DOI: 10.3390/s22145153
Popis: Countries require measures to prevent food fraud, such as forgery of certificates or content change during production, which can occur throughout the supply chain, even if they have a certification system for quality food management. Therefore, there are recent cases of the introduction of blockchain tokens for quality and supply chain management; however, there are difficulties in introducing tokens in food fields, such as forest and agricultural products. To introduce tokens in the food sector, we selected wild-simulated ginseng, subject to quality management in Korea, analyzed the quality management process of wild-simulated ginseng, and selected the target for blockchain token introduction. We then identified potential token-related issues from consumers and suggested possible solutions.
Databáze: Directory of Open Access Journals
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