3.1 Key data points from plantation to export (cultivation, inoculation, extraction, packaging)

Comprehensive breakdown of key data points to capture from plantation to export for agarwood, structured across the entire value chain (cultivation → inoculation → extraction → packaging → export). This can feed directly into digital traceability systems, IoT sensors, blockchain records, and QR certification systems.

1. Cultivation / Plantation Stage

Data Point	Purpose / Notes
Plantation ID / Farm Name	Unique identifier for traceability and regulatory compliance
Tree Species / Variety	E.g., Aquilaria malaccensis, Aquilaria crassna
Tree ID / Tag	Unique ID for each tree (QR, RFID, or numbered tag)
Seedling Source / Propagation Method	Tissue culture, grafting, or natural seed
Planting Date	Useful for age-based resin expectations and ROI calculation
GPS Coordinates / Geo-tag	Ensures location verification for origin claims
Soil Type / Fertility Data	Supports growth analytics and sustainable practices
Fertilization / Irrigation Records	Type, quantity, and date of application
Pest / Disease Incidences	Records for plant health monitoring and regulatory audits
Farmer / Caretaker Info	Accountability and training records

2. Inoculation / Resin Induction Stage

Data Point	Purpose / Notes
Tree ID / Lot ID	Links inoculation data to the specific tree or batch
Inoculant Type / Strain	E.g., Fusarium oxysporum, dual-action blends like BarIno FusaTrinity™
Inoculation Method	Drilling, wounding, or injection protocols
Date & Time of Inoculation	Critical for monitoring resin formation timeline
Operator / Technician	For accountability and quality control
Environmental Data at Inoculation	Temperature, humidity, rainfall (IoT sensors optional)
Fertilization or Supplement Post-Inoculation	E.g., MgCl₂ + sugar applications
Monitoring Data	Visual check of resin formation, fungal colonization progress, photos/logs

3. Harvest / Extraction Stage

Data Point	Purpose / Notes
Tree ID / Batch ID	Connects harvested resin to its origin
Harvest Date	Essential for age-based resin quality classification
Extraction Method	Manual, mechanical, or solvent-based
Resin Yield / Weight	Determines value and ROI; recorded per batch
Resin Grade / Quality	E.g., high-grade, medium-grade, chips, powder
Processor / Operator Info	Ensures accountability
Storage Conditions	Temperature, humidity, and duration before packaging
CITES or Local Certification	Permit numbers for legal compliance

4. Packaging / Distribution Stage

Data Point	Purpose / Notes
Batch ID / Lot ID	Continuity of traceability from harvest → packaging
Packaging Type & Material	E.g., vacuum-sealed, glass containers, eco-friendly materials
Package Weight / Quantity	For inventory and shipment accuracy
Packaging Date & Operator	Traceability and QA record
QR / RFID / Blockchain Tag ID	Links physical package to digital ledger
Storage Conditions Before Shipment	Environmental data to ensure quality
Labeling Compliance	Country of origin, CITES info, product grade

5. Export / Customs Stage

Data Point	Purpose / Notes
Exporter / Company ID	For regulatory traceability
Shipment ID / Container Number	Tracks batch through logistics chain
Destination / Buyer Info	Critical for traceability and customs compliance
Customs / CITES Permit Numbers	Legal export requirement
Shipment Weight & Quantity	Confirms physical vs documented inventory
Transport Conditions	Temperature/humidity logs for long-distance shipping (IoT optional)
Digital Record Link	QR/Blockchain reference for end-consumer or regulator verification
Insurance / Risk Data	Optional but valuable for premium shipments

6. Integration for Traceability Systems

• QR Codes / RFID Tags: Can encode Tree ID, batch ID, harvest date, and blockchain reference.
• Blockchain Ledger: Records immutable, chronological history of all above data points.
• IoT Sensors: Real-time monitoring for environment, storage, and transport conditions.
• Cloud Database: Central repository for analytics, reporting, and regulatory access.

Summary:
Capturing these data points end-to-end ensures:

1. Full provenance verification for buyers and regulators.
2. Quality assurance through monitored cultivation, inoculation, and storage.
3. Integration with blockchain, smart contracts, and QR certification systems.
4. Data-driven insights for improving yield, ROI, and sustainable practices.

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