Smart Agri-Tech IoT Dashboard
Designing a mobile-first control system for complex agricultural irrigation infrastructure
The Problem: 
Industrial irrigation systems overwhelm operators with fragmented hardware data, creating cognitive overload, delayed response, and preventable system failures.
The Challenge:
Transform engineering-heavy infrastructure into a mobile-first control system that simplifies monitoring, prioritizes anomalies, and supports safe daily operations.
The solution:
Reorganized raw hardware into user-friendly operational zones
Built triage-based dashboards for faster anomaly detection
Introduced predictive system logic beyond static monitoring
Reduced critical human error through safety-gated controls
Predictive UX
Correlated system metrics like pressure, flow, and soil moisture to identify failures before escalation.
Anomaly Detection Logic
Shifted from raw telemetry to pattern-based warnings for leaks, clogs, and hardware inconsistencies.

"Set-and-Forget" Automation
Designed schedule automation and weather logic to reduce manual control burden.

Strict Error Prevention
Moved emergency controls deeper, added hold-to-confirm actions, and minimized catastrophic misclick risk.
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