Case Study

AgricultureGlobali-Con

Precision farming operations unified across IoT, farm management, ERP, and supply chain traceability.

Modern agri-businesses run on dozens of disconnected systems IoT sensor networks, farm management platforms, weather feeds, ERP financials, and supply chain tools that have never been designed to talk to each other. i-Con creates the integration layer that makes precision farming possible at scale.

Unified

Cross-system data layer

IoT, farm management, ERP, weather, supply chain, and drone analytics brought together in a single integration layer one source of truth across the entire operation.

Real-time

Sensor-to-action automation

Live soil moisture, weather, and crop health data triggers automated irrigation, fertilisation, and equipment control replacing manual monitoring cycles.

End-to-end

Supply chain traceability

Blockchain-integrated provenance tracking from seed to consumer, supporting quality assurance claims and sustainability reporting requirements.

Scalable

Across thousands of sensors

i-Con's architecture supports multi-farm, cross-border deployments scaling from a single operation to an enterprise agri-business.

Overview

Overview

Precision farming generates more data than almost any other industry from soil sensors, drones, weather stations, yield monitors, and laboratory assays. The problem is not a lack of data. It is that the data lives in isolated systems that cannot communicate with each other in real time.

IoT sensor networks operate on separate protocols (MQTT, CoAP, LoRaWAN) that farm management platforms cannot natively consume.

Weather and climate data from multiple vendors must be manually downloaded, normalised, and cross-referenced with field records.

ERP and financial systems are updated manually from farm management exports introducing lag, errors, and reconciliation overhead.

Supply chain traceability is largely paper-based, making provenance claims difficult to substantiate for quality or sustainability certification.

Drone imagery and spatial analytics are disconnected from operational records, limiting their value for decision-making.

Required Integrations

Required Integrations

i-Con connects every system in the agri-business stack through a single, scalable integration layer handling protocol translation, data normalisation, and event-driven automation without requiring changes to any of the connected platforms.

CategoryCore Function
Farm ManagementCrop planning, workforce scheduling, yield tracking
IoT PlatformsSoil moisture, weather, crop-health sensing
Resource OptimisationAutomated irrigation, fertiliser usage, energy management
Weather & ClimateHyperlocal forecasts, historical climate analytics
ERP & FinancialsBudgeting, accounting, inventory, subsidy management
Supply Chain & TraceabilityBlockchain-based provenance, logistics coordination
Drone & ImageryAerial imaging, NDVI analysis, field mapping

Strategic Benefits of i-Con Adoption

Strategic Benefits of i-Con Adoption

Unified Data Layer

Single pane of glass across heterogeneous farm systems eliminating the spreadsheet-and-manual-export model that characterises most agri operations.

Workflow Automation

Event-driven triggers replace manual monitoring. Moisture below threshold → irrigation valve opens. Grade result in → planner notified automatically.

Scalable Architecture

Supports thousands of sensors and cross-border operations without proportional increases in integration complexity or headcount.

Audit & Compliance

Full audit trails for regulatory submissions, sustainability certifications, and supply chain transparency requirements.

Faster Innovation

Extensible connectors reduce time-to-integration for new agri-tech vendors meaning growers can adopt new tools without rebuilding their data stack.

Running a disconnected agri-tech stack?

Talk to the Prosol team about how i-Con can connect your farm management, IoT, and supply chain systems into a single, automated operation.