The Monitoring & Data Intelligence Layer transforms biological activation into a measurable, decision‑ready performance system. It ensures that resin induction is tracked scientifically, operationally, and financially — enabling predictive insights and investor‑grade transparency.
Core Functional Components:
- Baseline Tree Health Profiling
Prior to induction, each tree or pilot cohort undergoes structured baseline assessment, including:- Trunk diameter and age band classification
- Canopy vigor scoring
- Visible pathogen screening
- Soil and site condition documentation
- Scheduled Structural & Vitality Inspections
Post‑induction monitoring follows defined intervals to evaluate:- Tissue response localization
- External lesion containment
- Vascular integrity indicators
- Overall tree vitality preservation
- Resin Mapping & Progression Tracking
Resin formation is documented using structured mapping methodologies, including:- Spatial distribution logging
- Density progression scoring
- Time‑sequence development tracking
- Cohort‑level comparative analysis
- KPI Benchmarking Across Pilot Cohorts
Performance indicators are tracked across controlled pilot blocks to evaluate:- Resin initiation rate (%)
- Average induction response time
- Tree survival and recovery metrics
- Yield variability across environmental conditions
- Data Governance & Investor Reporting
Structured documentation standards ensure traceability from baseline to harvest phase. Aggregated performance dashboards enable:- Cross‑site benchmarking
- Early‑stage ROI modeling inputs
- Risk visibility and mitigation tracking
- Validation for licensing and scale expansion
This layer converts biological variability into structured