Agri-Food Value Chain Traceability Using Blockchain Technology: Portuguese Hams' Production Scenario

Area of Science:

• Agricultural Science
• Computer Science
• Supply Chain Management

Background:

• Globalization increases meat supply chain complexity and length.
• Animal disease outbreaks and consumer demand for transparency challenge consumer confidence.
• Existing traceability systems struggle to provide comprehensive and reliable data.

Purpose of the Study:

• To propose a novel multi-chain traceability system for the agri-food (meat) industry.
• To leverage blockchain technology for enhanced data integrity and transparency.
• To improve consumer trust through accessible and verifiable product information.

Main Methods:

• Implementation of a multi-chain architecture incorporating blockchain technology.
• Development of a system to ensure data immutability, reliability, and transparency.
• Integration of a unique product identifier for streamlined information access.

Main Results:

• The blockchain system mitigated data omission in the traceability process.
• Guaranteed immutability, reliability, and transparency of data throughout the value chain.
• Reduced traceability process time by enabling user access via a unique product identifier.

Conclusions:

• Blockchain technology offers a robust solution for meat industry traceability.
• The proposed system enhances food safety, transparency, and consumer trust.
• This approach addresses the complexities of globalized food supply chains effectively.