Mobile-based traceability system for sustainable food supply networks

Area of Science:

• Food Science and Technology
• Computer Science
• Supply Chain Management

Background:

• Traceability is crucial for food quality and safety, but faces challenges due to high costs and supply chain complexity.
• Existing systems often lack the flexibility and stakeholder integration needed for dynamic food networks.

Purpose of the Study:

• To propose a mobile-based bidirectional tracing system for food products.
• To overcome the limitations of current traceability systems by integrating graph data and peer-to-peer architecture.

Main Methods:

• Development of a mobile application for data collection via 2D barcode scanning.
• Integration of graph data structures to represent complex food supply chains.
• Implementation of a peer-to-peer network for decentralized data synchronization among stakeholders.

Main Results:

• The system enables seamless data synchronization across all connected nodes.
• Decentralized and flexible structure facilitates stakeholder involvement in diverse food networks.
• Enhanced transparency in product origin, production, and distribution processes.

Conclusions:

• The proposed system effectively addresses traceability challenges in food supply chains.
• It promotes resource efficiency and transparency, contributing to food safety and research.
• The mobile-based, decentralized approach offers a scalable solution for complex food networks.