A collaborative digital platform that seamlessly connects farmers, extension agents, and scientists, providing personalized views, real-time communication, and data-driven insights and decision-making to enhance crop yields, research, and sustainability.
The Problem
A disconnect in information hinders the ability to address climate change
While extension agents typically serve as intermediaries, they face limitations such as lack of funding and difficulty adapting research findings to the unique needs of each farmer.
The Solution
Providing tailored agricultural solutions through actionable insights and recommendations
Arli bridges non-corporation affiliated farmers, extension agents, and scientists together with seamless, data-driven collaboration.
With transparency at its core, this exchange enhances farming techniques, boosting crop resilience against climate change.
Arli's Ecosystem
Farmer App and Platform
Get direct access to extension agents and real time solutions and recommendations.
Extension Agent App and Platform
Track farm visits while an AI assistant provides personalized and contextual farm recommendations.
Scientist Platform
Enables easy data-sharing and supports funding and grants through impactful and measurable local research.
Arli Sensor for Farmers
Works offline via LoRa and LoRaWAN.
Adjustable solar panel ensures lasting power.
Camera detects pests and field conditions.
Research
Climate change significantly impacts agricultural productivity
While various agricultural technologies exist, none offer tailored solutions for independent farms.
Other factors come into play, such as environmental concerns and technical skill requirements due to automation, which limit the adoption of new AgTech.
Source: McKinsey & Company
Competitor Analysis
Direct competitors prioritize corporate farms
After researching AgTech companies, we saw an opportunity to provide cost-effective tools specifically for independent farms and agricultural scientists.
Target Audience
Who are we designing for?
After researching AgTech companies, we saw an opportunity to provide cost-effective tools specifically for independent farms and agricultural scientists.
Interviews
Gathering insights from experts in the field
We held three rounds of interviews with 17 experts to explore their practices, challenges, and perspectives on agricultural technology.
Initial Interviews
2 Agricultural Experts
Primary Interviews
3 Farmers
3 Scientists
1 Extension Agent
Concept Validation
6 Farmers
2 Extension Agents
Our Opportunity Areas
Development
Translating research into structure
Concept Direction
A smart agricultural ecosystem that connects all parties in real-time
We wanted to design a platform with for each party for data-sharing and collaboration and a sensor to collect data. Creating sitemap helped us structure the main features before moving onto mid-fidelity wireframes.
Farmer App and Platform
Extension Agent App and Platform
Scientist Platform
User Testing
We conducted user testing both in-person and virtually through Maze to ensure our functions and structure are clear.
Our Testers
8 Farmers
3 Extension Agents
3 Scientists
Methodology
Moderated Usability Testing
Scenario-Based Testing
Task Success Metrics
SUS Score
Scores across all platforms fell within the 'excellent' range
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The Brand Behind Arli
Reflection
Key Learnings
We constantly reiterated and approached challenges based on feedback. I learned how important it is to repeat, process standardization;at the process, take a few steps back, and refine our design to meet user expectations.
I initially felt overwhelmed because of the number of potential directions. During interviews, I saw that it wasn't about deciding on a problem, but about learning from our users' experiences and turning those insights into meaningful opportunity areas.
