Agarwood Traceability Blockchain Platform – Technical Specification
1. Objective
The Growth Monitoring Module provides continuous, data-driven tracking of agarwood trees from post-planting through resin maturation.
This module ensures:
- Transparent biological development records
- Environmental condition tracking
- Early disease detection
- Data-backed harvest eligibility validation
- ESG-aligned carbon monitoring
It transforms plantations into digitally auditable living assets.
2. Monitoring Scope
The system supports both:
- Tree-Level Monitoring (high-value estates)
- Block-Level Monitoring (commercial plantations)
3. Data Streams Captured
A. Tree Growth Metrics
| Parameter | Description |
|---|---|
| Tree ID | Linked to plantlet batch |
| Height | Measured periodically |
| DBH (Diameter at Breast Height) | Growth increment tracking |
| Canopy Spread | Crown development |
| Health Status | Visual scoring |
| Resin Development Indicator | If post-inoculation |
B. Environmental Data (IoT-Enabled)
| Sensor | Data Captured |
|---|---|
| Soil Moisture | % volumetric water content |
| Soil pH | Acidity levels |
| Temperature | Ambient °C |
| Humidity | % RH |
| Rainfall | mm accumulation |
| Light Intensity | PAR levels |
| Wind | Optional |
Sensors transmit data through secure APIs to the blockchain gateway.
4. Blockchain Workflow
Step 1: Data Aggregation
IoT devices → Edge gateway → API server → Validation engine
Step 2: Data Hashing
- Raw data stored off-chain
- Daily summary hash anchored on-chain
- Timestamped immutable record created
Step 3: Smart Contract Validation
Growth Monitoring Smart Contract:
- Validates sensor authenticity
- Confirms plantation geo-location
- Updates tree/block growth status
- Flags anomalies
5. Resin Development Monitoring (Post-Inoculation)
After inoculation, the module tracks:
- Time since inoculation
- DBH increment rate
- Stress indicators
- Optional ultrasound scan results
- Estimated resin formation probability
System calculates Harvest Eligibility Score (HES) based on:
- Minimum maturation period
- Growth stability
- Environmental suitability
- Health index
6. ESG & Carbon Integration
The module supports:
- Carbon sequestration modeling
- Biomass estimation per tree
- Automated carbon accumulation logs
- Sustainability audit reports
- Potential carbon credit integration
This is critical for green & ESG-focused investors.
7. AI & Predictive Analytics Layer
Using historical and live data:
- Predict optimal harvest window
- Forecast resin yield grade probability
- Detect abnormal growth suppression
- Recommend irrigation adjustments
- Optimize fertilization schedule
Machine learning improves accuracy over time.
8. Security & Data Integrity
- Device authentication keys
- Encrypted IoT communication (TLS)
- GPS verification of sensor nodes
- Anomaly detection (e.g., impossible growth spikes)
- Immutable daily hash anchoring
This prevents falsified growth records.
9. Scalability Design
- Edge-computing to reduce bandwidth
- Batch anchoring (daily/weekly)
- Modular sensor integration
- Multi-plantation node expansion
Supports scaling from 50 to 1,000+ plantations.
10. Strategic Value
For Buyers:
- Verified maturation timeline
- Transparent resin formation history
For Exporters:
- Harvest timing optimization
- Reduced grade disputes
For Investors:
- Plantation treated as a data-backed asset class
- Lower production risk
- Predictable yield modeling