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Agriculture Technology

Optimizing Seeding Workflows

Role: UX / UI Design, Prototyping, Design System
 

01. Problem

A leading agricultural machinery company specializing in seeding, planting, and tillage was looking to provide its operators with a digital tool that would make complex seeding workflows more efficient and error-resistant. The existing process relied heavily on manual inputs, paper maps, or tractor cab controls, which introduced challenges:

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  • Operators had to manually verify and plan seed distribution, row spacing, and seeding depth, often under time-sensitive field conditions.

  • Real-time adjustments (based on soil conditions, seeding density, or field boundaries) were cumbersome or unavailable.

  • Lack of a unified, intuitive interface made it difficult to monitor and control seeding across multiple modules (different planters or seed drills).

  • Communication between field operators and central agronomy teams was inefficient, leading to potential misalignments in planting strategy.

02. Process

Research & Understanding the System

  • Worked closely with product managers to understand feature requirements, user goals, and technical constraints for the seeding application.

  • Conducted independent research on modern seeding workflows, precision-ag practices, and common operator pain points to inform UX decisions.

  • Reviewed machinery systems and product ecosystem (seed drills, planters, in-cab displays) to ensure the app supported real-world use cases.

  • Analyzed existing seeding processes and digital tools to identify inefficiencies, redundant steps, and opportunities for simplification.

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Workflow Design & Information Architecture

  • Redesigned core workflows for seeding tasks, including:

    • Field mapping and boundary setup

    • Specification of seed density, row spacing, and target depth

    • Real-time monitoring and adjustment of seeding parameters

  • Developed a new information architecture optimized for tablet use, enabling quick access to key controls and status indicators.

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Wireframes & Prototype Creation

  • Created low-fidelity wireframes to explore layout options, interaction patterns (tap, swipe, drag), and navigation flow.

  • Moved to mid- and high-fidelity designs in Figma, building interactive prototypes to simulate in-field workflows like adjusting seeding rate and tracking progress.

  • Included modular card-style UI components for showing each planter row, status indicators (active/inactive), and error-state alerts.

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Collaboration & Handoff

  • Worked closely with product engineers to ensure that the iPad app design could interface with the machines’ control modules (via ISOBUS or proprietary systems).

  • Prepared detailed design specs, component libraries, and UI guidelines for the development team to implement the interface accurately.

  • Delivered interactive prototypes and UI assets for integration into the company’s crop-management system.​

03. Outcome

  • The new iPad app made seeding workflows much more efficient: operators could plan, monitor, and adjust seeding in real time without switching between paper, cab systems, or disconnected tools.

  • Field operators reported reduced setup time before planting, as the app’s streamlined UI minimized the steps needed to configure planting parameters.

  • The interface improved accuracy and consistency in seed placement by providing clear feedback for each planter row and proactive alerts for potential issues (seed meter error, misalignment).

  • By centralizing controls and data, the app allowed agronomy teams to communicate and update seeding plans remotely, aligning strategy with field execution.

I assisted in designing a set of high-density operating screens. The goal was to present complex machine data, such as row-by-row performance, seeding rates, diagnostics, and machine alignment, in a clear, operator-friendly layout optimized for field conditions.

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My work included:

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  • Creating a visual system that highlights seeding performance using modular row indicators and color-coded states

  • Designing detailed status panels for individual rows, machine sections, and seed meters

  • Structuring information to support fast, high-pressure decision-making in the field

  • Developing consistent interaction patterns for adjusting settings, accessing details, and responding to alerts

  • Ensuring the UI remained readable, scannable, and usable in outdoor environments and variable lighting

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These operating screens formed the core of the app’s real-time machine control experience, delivering clarity and confidence to operators during seeding.

Operating Mockups

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