30% ↓ fraud
Blockchain traceability in agriculture: 30% fraud reduction
CTO•National initiative (Korea)•2018–2019
Designed and deployed an Ethereum/Hyperledger-based supply-chain ledger for crop traceability.
Technology Stack
EthereumHyperledgerSolidityNode.js
Key Outcomes
- •30% reduction in agricultural supply-chain fraud
- •Shared, auditable ledger across farmers, distributors, and retailers
- •Improved provenance visibility for crop traceability and consumer trust
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
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