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

Here’s a 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.

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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

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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

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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

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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

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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

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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.

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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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