All Case Studies/Industrial & Agricultural Equipment
PORTFOLIO CASE STUDYIndustrial & Agricultural EquipmentDomain: Agricultural Machine IoT & Edge Fleet TelematicsEngagement: Connected Machinery Engineering Pod

Connecting Harvester Telemetry to Field-Service Insight

Specialized Engineering Scope & Mission Challenge

An agricultural equipment OEM needed to support high-intensity harvesting seasons where combine harvesters run 20 hours a day for three consecutive weeks. Unplanned field breakdowns during harvest leave grain rotting and alienate commercial farmers. Existing telematics systems relied on sporadic SMS pings with no detailed diagnostics. The OEM wanted to connect machine performance metrics (engine load, moisture levels, rotor RPM, hydraulic temperature) to dealership field-service vans in real time, enabling mobile technicians to dispatch proactively with the exact replacement hydraulic pump or sensor in hand.

Granular Competency & Technical Requirement Matrix

ISO 11783 (ISOBUS) & J1939 Agricultural Telematics Protocol
Low-Bandwidth MQTT & Cellular / Satellite IoT Connectivity
Edge Store-and-Forward Telemetry Buffering
High-Precision GNSS & Field Geospatial Telemetry Mapping
Cloud Ingestion & Real-Time Alerting Engine
Technician Field-Service Diagnostic Mobile Application (Offline-Ready)

Critical Engineering & Integration Complexities

  • Patchy 3G/4G connectivity across rural farmlands requiring continuous telemetry retention across multi-day disconnects.
  • High burst traffic during peak autumn harvesting seasons demanding elastic cloud infrastructure scaling.
  • Protecting sensitive farmer harvest yield data while sharing necessary mechanical telemetry with independent dealerships.
  • Harsh mechanical vibration and electromagnetic interference from heavy harvester motors disrupting edge electronics.

Engineered Delivery & Execution Workflow

01

ISOBUS Protocol Decoding

Built an embedded telematics stack decoding ISO 11783 CAN frames directly from the combine harvester bus.

02

Optimized Binary Telemetry

Designed an ultra-compact CBOR-encoded telemetry format cutting cellular payload bandwidth by 70%.

03

Resilient Local Edge Cache

Implemented local SQLite caching retaining 30 days of full telemetry on the in-cab display unit.

04

Cloud Fleet Processor

Deployed an AWS IoT Core and DynamoDB architecture ingesting fleet-wide machine telemetry in real time.

05

Early Fault Detection Rules

Programmed rule engines detecting rotor belt slippage and hydraulic overheating patterns before mechanical failure.

06

Technician Dispatch App

Built an offline-capable mobile app guiding field technicians to machine GPS coordinates with diagnostic logs.

07

Pilot Season Field Trials

Supported 50 commercial harvesters through a full harvest season, validating proactive dispatch reliability.

Production Toolchains, Protocols & Frameworks

IoT edge gatewayMQTTGNSSOffline-first mobile appISOBUSAWS IoT

06 | PROJECT TARGETS

Project Targets and Business Impact

99.5%
Field-data completeness target
Target for this engagement.
-30%
Service-triage time target
Target for this engagement.
<10 min
Offline sync recovery target
Target for this engagement.
1 day
Operator feedback loop target
Target for this engagement.
Business Impact Statement: The scenario prioritizes resilient data capture and faster service coordination, keeping fleets rolling when every operational hour during harvest is critical.

Customer Confidentiality Note: Customer identity, proprietary codebases, and commercial program specifics have been anonymized in accordance with non-disclosure agreements.