iPlant,
Smart IoT Greenhouse
Dashboard
Internet of Things
Agriculture
Complex System
Posted on
02/ 09 / 2023
Timeframe
9 Weeks
Role
User Experience & User Interface
Proposal
Figma, After Effects
Overview
My Agriculture Story
As a son of a farming family, the world of agriculture was always an inseparable part of my life. In my childhood, I worked in the family greenhouses together with my grandfather and father during summer vacations. The hard work and manual inspections of the plants were a daily routine, but they made me wonder how to improve the operation of the greenhouses and make it more efficient.
Precision agriculture, a revolution in the world of agriculture
With the advancement of technology, I understood that it is possible to create a technological solution that will assist farmers in managing greenhouses in a more advanced and automated way. This is how the idea for developing a smart greenhouse management system was born.
Problem
Expensive operations and manual labor play for profit
Farmers work tirelessly every day to maintain optimal growing conditions in greenhouses in order to ensure fast and high-quality growth. They are constantly on the lookout for problems in plants to quickly treat sick plants and prevent loss of money. When it comes to large areas, their work becomes very strenuous and physically demanding.
Existing systems are complicated and unfriendly
Many outdated and inconvenient systems do not take advantage of current technologies to create simpler and more convenient interfaces for farmers. Remote control is limited to immediate on and off or fixed schedule, and does not save manual work. As a result, farmers remain busy with daily operations instead of focusing on increasing profitability.
Solution
AI-Based Agricultural Management System
Customized automations in a simple and intuitive interface
iPlant is a platform that enables remote monitoring and control of growing conditions using artificial intelligence that learns the preferences of farmers and types of plants in their greenhouse. The system provides real-time alerts for plants that require care and creates personalized action scenarios, such as turning on and off ventilation systems, spraying, watering, and turning on lighting. The solution improves resource management efficiency, reduces manual labor, and saves on water, electricity, and working hours.
Design Process
Creative Workflow
With the reverse diamond method, I confidently combined 4 creative thinking processes and an iterative approach, allowing me to zero in on the project’s key elements and discover the most effective and innovative solutions.
Discover
Competitors analysis
There are solutions, but control is still partial
I analyzed 3 leading platforms with advanced technological solutions. I found that while some competitors use basic AI models, users still need to perform manual tasks to manage devices. Many systems focus on a single area, like irrigation (Netafim’s GrowSphere™) or growth analysis (CropX), but lack comprehensive control over all farm devices, leaving farmers with manual work. This led me to develop a solution with AI automation, allowing personalized adjustments and maximum remote control of greenhouses, increasing efficiency and simplifying daily farming tasks.
Discover
Insights
By adopting automated solutions, I faced technological challenges that required me to deeply explore the capabilities of artificial intelligence and personalization.
I took and improved
Process Automation
Integrating artificial intelligence to reduce reliance on manual labor.
Real-Time Monitoring
Using sensors to track environmental conditions & provide immediate alerts.
Personalization
Creating customized scenarios for each user based on their specific needs.
I took and improved
Simplifying the User Interface
To make it easier for users with basic technical knowledge.
Improving Real-Time Accuracy
To enhance the system’s monitoring and immediate response capabilities.
Cost Reduction
To make the solution more accessible for smaller-scale farmers.
Define
User persona
A young farmer longing to adopt technology
Ehud Greenboim, a 42-year-old farmer who manages the family farm. I chose this profile to dive into the needs and challenges of farmers in the technological age. Ehud represents farmers who strive to integrate advanced technologies to increase profitability and reduce reliance on manual labor. This person helped me tailor the solution to an effective and customized solution.
Ehud, 42
Farmer
Goals
- Increase profitability.
- Reduce manual labor and improve crop quality.
- Develop a self-managing, resource-efficient.
- Management of his agricultural areas remotely in a simple way.
Challenges
- Difficulty tracking changing environmental conditions manually.
- Managing multiple tools without a unified system.
- High workload and inefficient task management.
Needs
- An intelligent system with deep data analysis and insights.
- Remote monitoring and control via a user-friendly interface.
- Real-time notifications and custom scenarios for resource savings.
Motivations
- Ensure the farm’s success for future generations.
- Reduce reliance on physical labor and automate processes.
- Lead in smart cultivation and compete in the evolving agricultural market.
“In my opinion, introducing advanced technology to this farm is not only a way to ease the work, but also to secure the future of the family and agriculture.”
Ideate
Architecture
Before proceeding with drawing the screens, I created a user map with the main screens that should be in the solution.
Ideate
Wireframes
After establishing the architecture and user flow, I created a wireframes to test the product before designing the interface. This process optimizes management and design, ensuring a good user experience and identifying potential issues early.
Prototype
Final design
Home page
To allow full control the main screen shows an interactive map of the agricultural areas, each area on the map is shown by color: ideal, low or poor. Alongside the map is real-time data of the selected area which allows users to quickly identify the critical issues.
Identify a problem and take action
At the top of the page is a text box that allows writing and quick creation of an automation that allows you to act immediately as soon as the user identifies a critical problem in one of the areas on the map.
In this way, farmers can provide a quick response to plants that need immediate support.
Creating automation
In the automations screen, the user can create new rules that will operate automatically by writing in natural language. The iPlant engine will turn the user’s text into rules and conditions that will run automatically in the greenhouse.
Editing trigger
After the text has been received, the system will create rules and conditions that are linked to all devices in the greenhouse and will be activated accordingly. Users can edit the rules and make adjustments in a simple and convenient way.
Editing prompt
After the text has been received, the system will create rules and conditions that are linked to all devices in the greenhouse and will be activated accordingly. Users can edit the rules and make adjustments in a simple and convenient way.
Prototype
Internal screens
The parts that make up the whole
Additional screens are part of the complete solution, presenting the solution through hierarchy and a pleasant and user-friendly interface.
The additional screens include information about plants with filtering options, alerts about at-risk areas, and a summary screen presenting the watering schedules for the greenhouses.
- Plants
- Reports
- Alerts
Projects
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