Agricultural IoT Software
Making complex IoT machinery controls accessible to farmers without technical expertise
The Challenge
Farmers operating new IoT agricultural machinery needed software to manage complex sensor data, irrigation controls, and yield monitoring — but most had limited experience with digital interfaces. The existing software had a 40% error rate during critical operations.
The Process
Spent 2 weeks in the field with farmers across Punjab to understand their mental models, physical workflows, and error patterns with the existing interface
Mapped the entire machine operating workflow — from pre-dawn preparation to end-of-day logging — and identified 12 failure points in the current UX
Simplified the primary dashboard from 47 data points to 8 critical indicators, with clear visual hierarchy for alert states
Designed a task-based interface rather than a data-based interface — built around what farmers need to do, not what the sensors can measure
Used physical affordances and colour coding that mapped to farmers' existing visual vocabulary: green for good, amber for check, red for stop
Managed and designed 14 agriculture industry websites for related clients during this period
The Outcome
After deployment, measurable agricultural yield improved by 67% across client farms. Operating errors dropped from 40% to 6%. The software became the default interface adopted by all agricultural IoT clients of Objectified Soft.
12+ years building digital products at the intersection of code and design. Senior Design Engineer at Insphere AI, UX Delivery Lead at ReloadUX, and Lead Designer at Tkxel. Based in Lahore, Pakistan.