This workflow automates the continuous monitoring of engine hours, vibration, fluid levels, and GPS location from combines, tractors, and sprayers. By applying predictive models to this telemetry, the system diagnoses likely faults—such as bearing wear or hydraulic leaks—weeks before failure. The operational upside is direct: reducing unplanned downtime by 30-50%, extending asset life, and protecting seasonal revenue by ensuring equipment is operational during narrow, high-value weather windows. Implementation requires integrating IoT gateways, edge processing, and cloud-based diagnostic agents.




