Verda is a high-performance IoT platform intended for commercial-scale agriculture. The project involves converting a complex web of environmental sensors into a uniform, high-stakes interface that enables growers to precisely monitor and manage large-scale greenhouse operations.

Data density is the main challenge in commercial greenhouse management. In the past, growers had to deal with scattered interfaces and technical data logs in order to keep an eye on important factors like CO2 levels, humidity, and irrigation schedules. Decision fatigue resulted from this lack of a coherent visual hierarchy, which also raised the possibility of operational mistakes that may endanger entire crop cycles. The objective was to create a system that could handle thousands of data points while still being simple enough for a person to use under duress.

I oversaw the product design work, redesigning the entire information architecture on a "Zone-First" mental model. Instead of bombarding the user with raw data, I followed principles: the interface remains subtle during normal operations and only demands attention when the system senses an environmental deviation.

Modular Zone Controls: Developing a flexible system that can manage hundreds of individual sensors as collective zones.

Visual Hierarchy of Alerts: Create a colour-coded notification system that distinguishes between "at-a-glance" updates and critical alarms that require quick attention.

Data Visualisation: Creating interactive charts from historical records to help producers understand long-term trends in plant health and resource consumption.

The Real-Time Environment Dashboard: provides a centralised view of all active climate variables across many physical locations.

Granular Zone Management: simple toggles for configuring hardware automation (fans, lighting, irrigation) on a per-zone basis.

Automated Alert Logic: a high-visibility system for detecting critical environmental conditions.

I was able to successfully reduce cognitive load for growers by consolidating 100+ sensors into a single 'Zone-First' dashboard. The new alert logic reduced response time to critical environmental deviations, preventing potential crop loss. By requiring a conscious stop before each key step, the interface created its own safety layer, ensuring that no crop is ever lost due to a slip of the thumb.