A Blockchain-Based Traceability System for Agricultural Supply Chains
CHAPTER 1: INTRODUCTION
Background of the Study
Agricultural supply chains are increasingly required to demonstrate transparency, traceability, and compliance with international standards. However, many systems still rely on manual documentation, making them vulnerable to fraud, inefficiency, and data loss.
Blockchain technology introduces a decentralized and immutable ledger that can secure records and ensure trust among stakeholders. Integrating this with QR code authentication and real-time data capture enables a new level of transparency from farm to market.
AgriTrace™ is proposed as a blockchain-enabled traceability platform designed to record, verify, and authenticate agricultural products throughout their lifecycle.
Statement of the Problem
This study seeks to address:
- Lack of reliable traceability systems
- Product fraud and mislabeling
- Inefficient compliance documentation
- Limited access to premium markets
- Lack of integrated digital platforms
Objectives of the Study
General Objective
To develop a blockchain-based traceability system.
Specific Objectives
- Develop farm registration module
- Implement field data capture
- Create batch tracking system
- Integrate blockchain verification
- Develop QR authentication system
Significance of the Study
- Farmers: improved market access
- Exporters: verified supply chains
- Consumers: increased trust
Scope and Limitations
Scope includes prototype development; limitations include limited deployment scale.
CHAPTER 2: REVIEW OF RELATED LITERATURE
Agricultural Traceability Systems
Traceability systems enable tracking of products across supply chains but often lack real-time verification.
Blockchain Technology
Blockchain provides decentralized, immutable data storage suitable for secure recordkeeping.
QR Code Authentication
QR codes allow consumers to access product information instantly.
Related Studies
Studies show blockchain improves trust and reduces fraud in supply chains.
CHAPTER 3: METHODOLOGY
Research Design
Developmental research approach.
System Development Model
Agile methodology used for iterative development.
System Architecture
- Frontend
- Backend
- Blockchain layer
Modules
- User Management
- Farm Registration
- Data Capture
- Batch Processing
- Blockchain Verification
- QR Authentication
Data Collection
- Interviews
- Literature review
- System testing
CHAPTER 4: RESULTS AND DISCUSSION
System Overview
AgriTrace™ successfully tracks products from farm to market.
Features Implemented
- Farm registration
- Data capture
- Blockchain verification
- QR authentication
System Testing
Users found the system easy to use and reliable.
Discussion
The system improves transparency and reduces fraud risks.
CHAPTER 5: SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS
Summary
The study developed a blockchain-based traceability system.
Conclusions
AgriTrace™ enhances transparency, trust, and efficiency.
Recommendations
- Expand system to more crops
- Integrate IoT sensors
- Deploy at commercial scale
REFERENCES
(To be completed based on sources)