30% ↓ fraud
Blockchain Traceability in Agriculture: 30% fraud reduction
Chief Technology Officer•National initiative (Korea)•2018
Designed and deployed a ledger-backed supply-chain traceability platform for crops, improving provenance and trust across stakeholders.
Technology Stack
EthereumHyperledgerSolidityNode.js
Key Outcomes
- •30% reduction in fraud and better provenance visibility (resume claim)
- •Shared source-of-truth across farmers, distributors, and retailers
- •Tamper-evident records for compliance
Context
Agriculture stakeholders needed a tamper-evident way to verify crop provenance and reduce fraud in the value chain.
Problem
Paper trails were fragmented; bad actors could substitute lots without detection; audits were costly and slow.
My role & team
As CTO, I led architecture, chain selection, and rollout across pilots. I coordinated with regulators and supply partners.
Approach
- Process mapping → on-chain events (harvest, transport, storage, sale).
- Identity & permissions for each actor; off-chain docs anchored on-chain.
- Lot tokenization for handoffs; QR-based scans updating state transitions.
- Analytics overlay for anomaly detection and audit trails.
Architecture
Mobile scanning → API gateway → Chain (Hyperledger/Ethereum) + IPFS docs → Analytics warehouse.
Results
- 30% ↓ fraud; faster dispute resolution; better retailer confidence.
- Auditable trail ready for spot checks and compliance.
Lessons
- UX of scanning and offline modes determines adoption, not chain choice.
- Start with a narrow lot type; expand once incentives align.
CTA
Exploring provenance or anti-counterfeit? Book a 30-min call.
Source for outcome & role: