The Data Lifecycle Workflow defines how information flows across the entire agarwood supply chain, ensuring traceability, security, and auditability from nursery to end buyer.
1. Data Capture (Nursery & Propagation)
- Nursery Registration: Geo-location, operator ID, and nursery details are captured.
- Plantlet Propagation: Genotype, tissue culture batch ID, disease-free certification, and operator signatures recorded.
- Method: Data entered via mobile devices or IoT-enabled propagation systems.
- On-Chain Anchoring: Unique Batch IDs and event hashes stored on blockchain.
2. Plantation Inoculation & Growth Monitoring
- Inoculation Logging: Tree-level inoculation events recorded with inoculant batch, GPS coordinates, and environmental conditions.
- Growth Monitoring: IoT sensors track soil moisture, temperature, humidity, and light; drone or satellite imagery captures visual growth data.
- AI Analytics: Predicts resin induction, tree health, and maturity.
- Smart Contracts: Validate inoculation events and growth scores before anchoring data on-chain.
3. Harvest & Grading
- Harvest Data Capture: Date, weight, tree ID, operator, and location logged.
- Grading Metrics: Resin content, wood quality, and lab test results recorded.
- Data Validation: Smart contracts verify eligibility for harvest and correct grading protocols.
- On-Chain Anchoring: Batch hash and grading records immutably stored for auditability.
4. Extraction & Processing
- Input Data: Raw biomass weight, moisture content, and batch ID.
- Process Logging: Extraction method (steam, CO₂, or hydrodistillation), start/end time, temperature, pressure.
- Output Data: Product type (oil, chips, hydrosol), yield, GC-MS results.
- Smart Contract Anchoring: Links processed products to original harvest batch for full traceability.
5. Export Documentation
- Regulatory Data Capture: Digital CITES permits, phytosanitary certificates, invoices, and packing lists.
- Verification: Smart contracts validate document hashes against batch IDs.
- Export Batch Token: Generated to allow secure international trade verification.
6. End-Buyer Verification
- Authentication Methods: QR codes, NFC tags, or secure web portals.
- Displayed Data: Plant origin, propagation details, inoculation, growth, harvest, processing, and export documentation.
- Verification Check: Smart contract confirms authenticity and flags anomalies.
- Investor/Buyer Transparency: Provides confidence in ESG compliance, authenticity, and quality.
7. Data Storage & Anchoring
- On-Chain Data: Event hashes, smart contract execution, Batch IDs, timestamps, status flags.
- Off-Chain Data: Large files (lab reports, images, IoT logs) stored securely and linked via cryptographic hashes.
- Data Integrity: Anchored on blockchain to prevent tampering or loss.
8. AI & Analytics Feedback Loop
- Predictive Insights: Growth rate, resin yield, harvest timing, ESG compliance metrics.
- Automated Alerts: Flags anomalies or deviations from expected growth/performance.
- Continuous Optimization: Provides actionable recommendations to operators and investors.
Summary:
The Data Lifecycle Workflow ensures immutable, auditable, and transparent data at every stage of the agarwood supply chain. By integrating IoT sensors, AI analytics, smart contracts, and blockchain anchoring, Crown Blockchain Solutions delivers trust, traceability, and ESG compliance across nursery, plantation, processing, export, and buyer stages.