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Irrigation Event Prediction and Recommendations

Client: Phytech/ Agritech
Role: Design lead
Agency: Brio Interaction Design
Year: 2024

Goal: Create a clear and intuitive way to present system-generated irrigation recommendations, and allow users to easily act on them while maintaining flexibility.

User research

We observed how users currently plan irrigation events and how they interact with system predictions. Initially, the system only offered general recommendations that weren’t based on plot-specific data, which made them less relevant.

Main issues
  • Clear differentiation: Introducing a new type of event - recommended - required visual and functional separation from planned and actual events.

  • Make it actionable: The recommendation feature didn’t exist before. We wanted it to feel easy to trust and act on.

  • Holistic planning: Needed more than one recommendation per valve - a weekly view across all valves and zones.

  • Data silos: Prediction tools weren’t integrated into the daily workflow, reducing trust and impact.

UX Decisions
  • New event type design: Designed a new visual representation for suggested events.

  • Streamlined workflow: Made recommendations editable and directly actionable.

  • Tool integration: Integrated prediction layers into agronomic decision tools.

UI Decisions
  • Recommendation styling: Introduced a dashed line in brand colors to indicate recommendations.

  • Contextual visuals: Embedded soil moisture graphs next to recommended events.

  • Unified interaction model: Created consistent interactions across all event types.

This project was completed as part of my work at Brio Interaction Design Ltd. for Phytech. All visuals and content shown here are proprietary to Phytech and are presented solely for the purpose of demonstrating my professional experience. Any further use, reproduction, or distribution is strictly prohibited.

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