Blockchain Token-Based Wild-Simulated Ginseng Quality Management Method

Area of Science:

• Agricultural Science
• Food Science
• Computer Science

Background:

• Food fraud, including certificate forgery and content alteration, poses risks throughout supply chains.
• Existing quality management certifications may not fully prevent fraud in food products.
• Blockchain technology offers potential solutions for supply chain and quality management.

Purpose of the Study:

• To explore the feasibility of introducing blockchain tokens for quality and supply chain management in the food sector.
• To analyze the quality management process of wild-simulated ginseng in Korea.
• To identify and address consumer concerns regarding blockchain token implementation in food products.

Main Methods:

• Analysis of the quality management process for Korean wild-simulated ginseng.
• Identification of suitable targets for blockchain token introduction within this process.
• Investigation of potential consumer-related issues and proposed solutions for token adoption.

Main Results:

• Wild-simulated ginseng was identified as a target for blockchain token application.
• Potential consumer concerns regarding blockchain tokens in food were identified.
• Solutions to mitigate these consumer concerns were proposed.

Conclusions:

• Blockchain tokens show promise for improving quality and supply chain management in the food industry, specifically for products like wild-simulated ginseng.
• Addressing consumer perceptions and potential issues is crucial for successful blockchain adoption in food sectors.
• Further research and development are needed to overcome challenges in implementing blockchain for agricultural and forest products.