The Lab / Accenture, Innovation

Intelligent Agriculture

An AI platform that helps farmers optimize crops and reduce waste by monitoring soil, plant and air conditions.

  • AI
  • IoT
  • Agriculture
Intelligent Agriculture dashboard on a laptop
Role
Team lead and product designer
Team
AI architect and UX researcher
Timeline
An update to a patented showroom demo
Scope
User research, UX design, UI design, storytelling
The problem

Farmers often fix crop problems by trial and error. Lab samples are expensive and slow, and soil variables rarely get considered.

My approach

I interviewed plant and soil experts, mapped the experience, picked IoT sensors for six variables and redesigned the platform.

What it led to
  • The updated experience, leveraging IoT and AI, is part of Accenture's Innovation portfolio
  • Six crop variables tracked with IoT sensors
  • Patented demo update
01 / Context

Getting up to speed

Our showroom had a patented demo that used drones and machine learning to identify key factors in crops. I was asked to lead the project, update the prototype with more recent technology and refresh the experience.

The platform is for farmers who want to optimize their crops and reduce waste, so the goal was less waste and more profit.

02 / Research

The right tools make a difference

I started by building a team. An AI architect helped me check viability and feasibility, and a UX researcher gave me another point of view during discovery. I interviewed two experts in plant care and soil nutrition, who walked me through the pain points farmers live with.

Key findings
  1. 01There's a lack of knowledge around irrigation and air humidity
  2. 02Lab samples to find nutrient deficiencies are expensive and slow
  3. 03Soil variables usually aren't considered when balancing nutrients
  4. 04Problems are usually solved by trial and error

With these findings, the team and I mapped an experience diagram and pulled requirements for the new version. Then we looked for IoT sensors that could read water and soil pH, air and soil humidity, plant and ambient temperature, CO2 levels, and soil macro and micro nutrients.

Storyboard for the updated experience
Storyboard
03 / Design

From storyboard to screens

With requirements and a feasible plan in place, I gathered the team to storyboard the updated version. That told me exactly which screens the story and user flow needed.

Sketches and wireframes
Wireframes

I worked through sketches and wireframes, reviewed them with the rest of the Innovation team, made some tweaks and designed the UI.

Crop monitoring dashboard
Soil and plant variable details
04 / Outcome

What happened

What it led to
  • The updated screens are part of Accenture's Innovation portfolio
  • Six crop variables tracked with IoT sensors

The project paused during the pandemic, but the updated screens are still part of Accenture's Innovation portfolio.

Accenture stopped receiving client visits, so the demo went on hold with all the pieces ready to put together. Discovery was especially fun. I expanded my knowledge of IoT devices and learned how to make compost. I also found out that overwatering is probably what killed my plants.

Confidential information has been omitted or blurred to comply with my NDA. All material is property of Accenture.