AgriTrace™ Undergrad Thesis Proposal

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:

  1. Lack of reliable traceability systems
  2. Product fraud and mislabeling
  3. Inefficient compliance documentation
  4. Limited access to premium markets
  5. 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)