Growth analytics and verification stack for orchard operations. Data capture, analysis, and evidence packaging are connected in one auditable workflow.
Edge devices capture growth data on-site, then process it through measurement, analysis, and validation pipelines to produce evidence-ready outputs.
Every metric is GPS-tagged, timestamped, and traceable.
Edge Data Capture
Automated field cameras and sensors with GPS timestamps, calibration metadata, and offline queue for intermittent connectivity.
Growth Metrics & Detection
Real-time growth indicators, anomaly detection, yield forecasting, and AI-powered growth stage classification.
Validation & Evidence
Automated test suites, KPI verification against baselines, and tamper-proof evidence packaging for compliance and reporting.
| Code | Module | Category | Description |
|---|---|---|---|
G-01 |
Pear Edge Capture | Core | Field camera + sensor data collection with GPS timestamps and calibration |
G-02 |
Growth Metrics Extractor | Core | Feature extraction, growth rate calculation, and stage classification |
V-01 |
Validation Harness | Core | 12 automated tests against baseline KPIs with pass/fail reporting |
V-02 |
Evidence Pack | Core | Tamper-proof evidence packaging with checksums and digital signatures |
G-03 |
Edge Inference | Extension | On-device AI inference for real-time growth classification |
G-04 |
Field Sync | Extension | Multi-device data synchronization with conflict resolution |
V-03 |
Regression Suite | Extension | Historical comparison and trend regression analysis |
V-04 |
Scenario Engine | Extension | Configurable test scenarios for custom validation workflows |
O-01 |
Operations Console | Extension | Web dashboard with real-time monitoring and alert management |
O-02 |
RBAC & Audit | Extension | Role-based access control with immutable audit trail |
DP-P |
Pear Growth Pack | Domain | Pre-configured models and baselines for pear orchard monitoring |
DP-V |
Verification Pack | Domain | Compliance report templates and evidence export formats |
DP-R |
Robot Field Pack | Domain | Integration with autonomous field robots for automated data collection |
Role-based permissions with complete audit trail. Every data access and modification is logged with user identity and timestamp.
Immutable data archive with cryptographic checksums. Metadata tagging and chain-of-custody tracking for every measurement.
Fail packs capture complete state on validation failure. Every test scenario can be re-executed with identical parameters.
Primary processing on edge devices with cloud synchronization. Operates in offline mode with automatic sync when connectivity is restored.
Complete air-gapped deployment for data-sensitive environments. All processing, storage, and reporting within customer infrastructure.
Share your capture equipment, target metrics, validation criteria, and reporting formats. We will propose a data pipeline and verification scenario.