Product overview
agriX is an AI-powered agricultural management platform that helps farmers and agribusiness monitor their crops, track field conditions, and optimise resources. By integrating multispectral sensors, AI-driven analytics, and real-time data visualisation.
agriX provides insights that improve crop yield, reduce waste and enhance decision-making.
My role
I conducted research to understand user needs and designed wireframes, user flows, and high-fidelity prototypes. I focused on enhancing usability for key features like real-time alerts, data visualisation, and field monitoring while ensuring a visually consistent interface. Collaborating closely with developers, I helped bring a seamless and intuitive experience to life for farmers and agronomists.
Challenge
Modern farming requires precise data to make informed decisions, yet many farmers still rely on traditional methods, which are often time-consuming, inaccurate, and inefficient. The challenge was to design a platform that could simplify complex agricultural data and make it easily accessible, even for users with limited technological expertise.
Problem
1- Lack of real-time monitoring:
Farmers often rely on physical field inspections, which are time-consuming.
2- Unpredictable weather & soil conditions:
Poor visibility into environmental factors leads to inefficient resource allocation.
3- Crop disease detection:
Many farmers struggle to detect issues early, leading to significant yield losses.
4- Data overload & inaccessibility:
Existing farming tools often present raw data without actionable insights.
Solution
1- AI-Powered Crop Monitoring:
Uses multispectral sensors and AI to provide real-time health insights.
2- Automated Alerts & Predictive Analytics:
Notifies users about weather changes, irrigation needs, and disease risks.
3- User-Friendly Dashboard:
Simplifies complex agricultural data into actionable insights with clear visuals.
4- Custom Reports & Recommendations:
Generates AI-driven suggestions for better farming practices.
Multispectral sensor
A multispectral sensor is a camera that captures light beyond the visible spectrum, including near-infrared (NIR) and ultraviolet (UV). It allows farmers to:
Detect plant stress early before it becomes visible to the human eye.
Optimise fertilisation and irrigation by analysing crop health.
Improve yield prediction with precise growth data.
Reduce chemical waste by targeting specific areas that need treatment.
Our users
To design an effective solution, I first needed to understand the key challenges faced by modern farmers. By analysing industry data and user insights, I identified three primary user groups:
Small-to-medium farm owners.
Agricultural consultants.
Large-scale agribusinesses.
“Precision agriculture use increases with farm size and varies widely by technology” by Jonathan McFadden and Katherine Lim
User personas
To gain a deep understanding of our target audience, I conducted interviews with potential users across different farming backgrounds. These insights enabled me to create detailed user personas that accurately reflect their real-world challenges, goals, and technological behaviours. By identifying their specific pain points and needs, I ensured that agriX is designed to provide practical, data-driven solutions that enhance efficiency and sustainability in modern farming.
System architecture
I structured the system architecture to ensure users can access their most essential functions with minimal steps. Given that efficiency is a priority for farmers, I streamlined the login and authentication process while providing quick access to key features such as farm management, alerts, and mapping tools. Secondary functions, like settings and logout, are easily accessible but do not distract from core functionalities. This approach ensures a seamless and intuitive user journey, allowing farmers to focus on what truly matters—monitoring and optimising their agricultural operations.
Ui kit
Wireframe
To ensure a seamless and intuitive user experience, I began by designing wireframes that prioritise efficiency and ease of navigation. Given our users’ need for quick access to critical farm data, the wireframes were structured to minimise steps while maintaining clarity. The layout focuses on real-time monitoring, alerts, and farm insights, with secondary functions kept unobtrusive to prevent distractions. This early-stage design allowed me to refine the user journey before moving into high-fidelity prototypes, ensuring AgriX is both functional and user-friendly.
The agriX prototypes were designed with a strong focus on efficiency, ensuring users can navigate their key tasks with minimal steps. By prioritising essential features like farm monitoring, alerts, and mapping, the interface keeps interactions intuitive and distraction-free. Secondary functions remain accessible but do not interfere with the core user experience. The system architecture supports real-time data insights, enabling farmers to make quick, informed decisions. These prototypes reflect a seamless, user-centric approach to modern agricultural management.
Prototypes
Login
I designed a clean and minimal login screen for AgriX, ensuring a smooth and intuitive user experience. The centred layout keeps the focus on essential elements, with clear input fields for email and password. A "Remember me" option and a password visibility toggle enhance usability. The login and account creation buttons are visually distinct, guiding users effortlessly through the authentication process.
All data dashboard
After logging in, the user automatically enters Level 1 of the application, where they can view an interactive dashboard with essential information about their farm. At this level, analytical data such as the total number of trees, fruits, and waste is presented through intuitive charts. Additionally, the user can monitor fault detection alerts and vegetative vigour, enabling quick decision-making. The simplified side navigation allows easy access to properties, locations, and alerts, ensuring a smooth and efficient experience.
Properties
On these screens, I designed the property selection and location mapping features. The first screen allows users to add new properties or select from existing ones, ensuring quick access to farm data. The second screen provides a satellite map view, helping users to visualise their farm locations geographically.
Alerts
The Alerts section provides users with a clear and organised view of all notifications related to their farm operations. Alerts are categorised into Informative, Success, Warning, and Danger, allowing users to prioritise their actions effectively. Informative alerts provide general updates, while Success alerts confirm completed tasks. Warning alerts highlight potential issues that need attention, and Danger alerts indicate critical problems requiring immediate action. This structured approach ensures users can quickly assess, filter, and respond to relevant alerts, improving efficiency and decision-making.
Property dashboard
When the user selects a property, they can access a detailed dashboard displaying key data related to that specific location. The dashboard provides insights such as real-time weather conditions, soil temperature trends, fault detection statistics, and fruit distribution analysis. Users can also visualise the field's layout and monitor critical alerts for informed decision-making. Additionally, the bottom navigation allows quick access to other registered properties, ensuring seamless farm management.
Multispectral views
When the user selects a field, they can use different types of multispectral sensors to gain a detailed view of vegetation conditions and crop health. Through indices such as NDVI, WDRVI, and GCI, it is possible to analyse factors like plant vigor, areas of water stress, pest detection, and nutrient deficiencies. This approach enables precise monitoring and informed decision-making, helping to optimize productivity and the sustainability of the agricultural operation.
The reflection
Throughout this project, I gained valuable insights into designing intuitive dashboards for agricultural monitoring.
I learned the importance of clear data visualisation, ensuring that complex information is easily digestible for users.
Working with multispectral imaging reinforced my understanding of how different data layers can enhance decision-making.
User feedback played a crucial role in refining the interface, highlighting the significance of usability testing. I also improved my ability to balance aesthetics with functionality in UI design. Additionally, I deepened my knowledge of accessibility principles to make the platform more inclusive.
Exploring alert systems taught me how to prioritise information hierarchy effectively.
Collaboration with developers helped me bridge the gap between design and implementation. Overall, this experience reinforced the importance of user-centered design in building practical digital solutions.