Seed Traceability
Lineage from breeder to farmer with cryptographic proofs.
Objectives
- Protect consumers and brands, aligned to national goals
- Enable evidence‑based takedowns and rapid recalls
- Reduce friction for field staff and partners
Architecture
Clean event model; AI/ML services for anomaly detection; signed provenance on chain; offline‑capable apps; observability with SLIs/SLOs.
Rollout
- Pilot slice with real field users
- Harden: security reviews, performance tests, failure drills
- Scale by region with training and partner kits
Outcomes
- Higher detection rates with fewer false positives
- Traceable actions with audit proof
- Stable operations through runbooks and alerting