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Indoor Positioning System for Agricultural Asset Tracking
  1. case
  2. Indoor Positioning System for Agricultural Asset Tracking

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Indoor Positioning System for Agricultural Asset Tracking

embiq.com
Agriculture
Information technology
Environmental Services

Operational Challenges in Agricultural Asset Management

Agroindustries face difficulties in accurately tracking employee movements, monitoring task completion times, and optimizing resource allocation across large greenhouse facilities without requiring additional infrastructure investments.

About the Client

Agricultural technology company specializing in precision farming solutions with solar-powered wireless systems

Key Project Goals

  • Implement precise indoor positioning with 5-10cm accuracy
  • Enable customizable area definitions for greenhouse management
  • Create real-time task monitoring and prioritization system
  • Generate efficiency reports for agricultural operations
  • Establish automated alert system for cultivation irregularities

Core System Capabilities

  • Customizable zone mapping for greenhouse areas
  • Real-time personnel location tracking via UWB
  • Task assignment and prioritization interface
  • Time-tracking analytics dashboard
  • Automated alert system for cultivation anomalies
  • Solar-powered wireless sensor network integration

Technology Stack Requirements

Ultrawideband (UWB) positioning
LoRaWAN wireless communication
Bluetooth Low Energy (BLE)
Angular frontend framework
Django backend framework
MySQL database
WebSocket real-time communication

System Integration Needs

  • UWB hardware module interface
  • LoRaWAN gateway integration
  • Solar power management system
  • ESP32 microcontroller communication

Performance and Operational Requirements

  • Sub-10cm positioning accuracy
  • Solar-powered autonomous operation
  • Support for large-scale facility deployments
  • Real-time tracking with <100ms latency
  • Secure wireless communication protocols

Expected Business Outcomes

Enables precise workforce management in agricultural facilities, reduces operational costs through optimized task scheduling, improves cultivation efficiency via real-time monitoring, and provides data-driven insights for decision-making through comprehensive analytics.

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