FIELD ANALYTICS

Measure growth. Prove every result.

End-to-end growth analysis and verification suite for orchard monitoring. From edge data capture to automated evidence packaging — every metric is measured, validated, and auditable.

4
Core Lines
12
Validation Tests
3
Evidence Packs
2
Deployment Models
Orchard Monitoring Setup

From the field to the report — fully automated

Edge cameras and sensors capture growth data directly in the orchard. VIA GROVE processes this data through measurement, analysis, and validation pipelines to produce audit-ready evidence packs.

Every metric is GPS-tagged, timestamped, and traceable — meeting regulatory and subsidy verification requirements.

Edge Capture Device
Growth Analytics Dashboard
Evidence Pack Report
METHODOLOGY

Three steps to verified growth data.

STEP 01

Measure

Edge Data Capture

Automated field cameras and sensors with GPS timestamps, calibration metadata, and offline queue for intermittent connectivity.

STEP 02

Analyze

Growth Metrics & Detection

Real-time growth indicators, anomaly detection, yield forecasting, and AI-powered growth stage classification.

STEP 03

Prove

Validation & Evidence

Automated test suites, KPI verification against baselines, and tamper-proof evidence packaging for compliance and reporting.

MODULE CATALOG

Modular analytics stack

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
SYSTEM ARCHITECTURE

Six-layer verification pipeline

Archive
Evidence Pack
Compliance Report
Fail Pack
Console
Dashboard
Mobile App
Kiosk UI
Validation
Test Runner
KPI Evaluator
Scenario Engine
Metrics
Feature Extraction
AI Inference
Forecast & Alert
Data Schema
Timestamps
Calibration
Metadata
Offline Queue
Edge Device
Camera
Sensors
Environment Monitor
DATA INTEGRITY

Built for auditability

Access Control

Role-based permissions with complete audit trail. Every data access and modification is logged with user identity and timestamp.

Data Integrity

Immutable data archive with cryptographic checksums. Metadata tagging and chain-of-custody tracking for every measurement.

Reproducibility

Fail packs capture complete state on validation failure. Every test scenario can be re-executed with identical parameters.

DEPLOYMENT

Flexible deployment options

Edge + Cloud

Primary processing on edge devices with cloud synchronization. Operates in offline mode with automatic sync when connectivity is restored.

Fully On-Premise

Complete air-gapped deployment for data-sensitive environments. All processing, storage, and reporting within customer infrastructure.

PERFORMANCE

Validated operational metrics

<2s
Data Collection Latency (G-01)
99.2%
Metric Extraction Accuracy (G-02)
12
Automated Validation Tests (V-01)
100%
Evidence Packaging Coverage (V-02)

Ready to build the future?

Let's shape the next chapter of autonomous systems and smart agriculture together.

VIA Co., Ltd.
contact@viasoft.ai
604, Jeonju Innovation Startup Hub, 67 Yusang-ro, Deokjin-gu, Jeonju-si, Jeollabuk-do, South Korea