Agro air
Farmers already have a need for spraying and other field services, but accessing specialised drone services involves uncertainty around availability, cost, trust, and operating the technology. AgroAir explores a service marketplace that connects farmers with drone operators and makes booking easier.
Role
UI/UX Designer
UI/UX Designer
Industry
AgriTech
AgriTech
Project Type
Personal
Personal
Year
2025
2025
Platform
Mobile
Mobile
Tools
Figma · Affinity
Figma · Affinity
Contribution
Research · UX · UI · Interaction Design
Research · UX · UI · Interaction Design
Problem
Getting the work done is harder than getting the technology.
Farmers often depend on labour and manual equipment for tasks like spraying and fertiliser application. Finding people when they are needed can be difficult, especially during busy periods.
At the same time, agricultural drones can reduce manual effort and cover large areas quickly, but using one requires the right equipment, training and operator.
The opportunity was to make drone-based agricultural services easier to discover, understand and book without requiring farmers to own or operate the technology.
Research Summary
I started with a simple question:
What makes agricultural spraying difficult today, and where could a drone service actually help?
I used three interviews with people from agricultural backgrounds, including a farmer and agriculture students, along with secondary research and a review of existing drone-service platforms.
The interviews revealed a recurring dependence on labour. One farmer managing 10–12 acres described needing at least 2–3 workers, while another interviewee described finding labour as a major headache.
I also looked at existing services such as TropoGo, KisanKopters and DJI Agriculture to understand how drone services, operators, equipment and agricultural use cases are currently presented.
What I found
Labour is a real constraint
Farmers interviewed relied heavily on labour for spraying and other field work.
One farmer managing 10–12 acres said he generally needed at least 2–3 workers. Another interviewee described finding labour as a “headache” and said spraying and fertiliser application were among the more difficult tasks.
This made spraying a useful starting point for exploring where drone services could fit into the existing workflow.
The technology is still unfamiliar
The people I interviewed had limited direct experience using agricultural drones.
One interviewee had never used a drone in the field and felt adoption would take time. Another had only encountered drones through a nearby trial, while another had seen a company demonstrate agricultural spraying at a university.
That changed how I approached the product.
The app couldn't assume that farmers already understood drone technology.
It needed to explain the service, not the technology.
Renting made more sense for occasional use
Ownership wasn't automatically the answer.
The interviews suggested that the decision depends on land size and frequency of use. For occasional use or smaller farms, renting a service could make more sense than purchasing a drone and learning how to operate it. INTERVIEW INTERVIEW
This led to the core product idea:
Don't make farmers buy the technology. Let them book the service.
The opportunity
The research pointed towards a service marketplace rather than a drone-control application.
The product needed to help farmers answer:
What service do I need?
Who can provide it?
How much will it cost?
When can it happen?
That became the foundation for AgroAir.
I looked at existing drone platforms to understand how the category communicates its services.
TropoGo covers multiple parts of the drone ecosystem, including insurance, loans, training, jobs, drones and spare parts. KisanKopters focuses more directly on connecting farmers and drone operators. DJI Agriculture focuses on agricultural drone technology, spraying systems and automation.
A few patterns stood out:
Keep the interface simple.
Make the farmer–operator connection clear.
Explain the service before the technology.
Use strong visual examples of the work.
Keep booking information straightforward.
The competitive review helped narrow AgroAir's focus around service discovery and booking rather than trying to become a complete drone ecosystem.
Product direction
Discover → Choose → Book → Track
AgroAir was structured around a simple service flow.
Discover
Find services such as spraying, mapping and crop monitoring.
Choose
Compare the service, price, operator and available details.
Book
Select the service and request a date.
Track
Keep upcoming and previous services accessible from one place.
The goal was to make drone technology feel like a service you can use, rather than a piece of equipment you need to understand.
The booking experience
The booking flow was designed around the information required to make a decision:
Service → Price → Details → Date → Booking
Instead of presenting the drone first, the experience starts with the farmer's task.
For example:
Pesticide Spraying
₹2,499 / acre
Then the user can understand what the service includes and decide whether to book it.
This keeps the product focused on the job to be done rather than the complexity of the equipment behind it.
A marketplace for drone-based agricultural services.
AgroAir connects farmers with drone operators who can provide services such as:
Pesticide and fertiliser spraying
Crop monitoring
Aerial mapping
Soil and field analysis
The product brings discovery, booking and service history into one place.
Rather than asking farmers to learn how to operate a drone, AgroAir lets them book someone who already can.
Designing trust
A major challenge with a relatively unfamiliar service is trust.
The interface therefore uses:
Operator profiles
Service details
Pricing
Ratings and reviews
Previous services
Booking status
Clear service information
The intention is to answer the questions a farmer might have before committing to a service.
AgroAir evolved from a simple “drone as a service” idea into a more focused marketplace concept.
The research changed the emphasis from the drone itself to the service around it.
The final product focuses on three things:
Make the service easy to find.
Make the booking easy to understand.
Make the operator relationship visible.
The project also taught me that introducing new technology isn't only about explaining what the technology can do.
It's about fitting that technology into a workflow people already understand.
Problem
Getting the work done is harder than getting the technology.
Farmers often depend on labour and manual equipment for tasks like spraying and fertiliser application. Finding people when they are needed can be difficult, especially during busy periods.
At the same time, agricultural drones can reduce manual effort and cover large areas quickly, but using one requires the right equipment, training and operator.
The opportunity was to make drone-based agricultural services easier to discover, understand and book without requiring farmers to own or operate the technology.
Research Summary
I started with a simple question:
What makes agricultural spraying difficult today, and where could a drone service actually help?
I used three interviews with people from agricultural backgrounds, including a farmer and agriculture students, along with secondary research and a review of existing drone-service platforms.
The interviews revealed a recurring dependence on labour. One farmer managing 10–12 acres described needing at least 2–3 workers, while another interviewee described finding labour as a major headache.
I also looked at existing services such as TropoGo, KisanKopters and DJI Agriculture to understand how drone services, operators, equipment and agricultural use cases are currently presented.
What I found
Labour is a real constraint
Farmers interviewed relied heavily on labour for spraying and other field work.
One farmer managing 10–12 acres said he generally needed at least 2–3 workers. Another interviewee described finding labour as a “headache” and said spraying and fertiliser application were among the more difficult tasks.
This made spraying a useful starting point for exploring where drone services could fit into the existing workflow.
The technology is still unfamiliar
The people I interviewed had limited direct experience using agricultural drones.
One interviewee had never used a drone in the field and felt adoption would take time. Another had only encountered drones through a nearby trial, while another had seen a company demonstrate agricultural spraying at a university.
That changed how I approached the product.
The app couldn't assume that farmers already understood drone technology.
It needed to explain the service, not the technology.
Renting made more sense for occasional use
Ownership wasn't automatically the answer.
The interviews suggested that the decision depends on land size and frequency of use. For occasional use or smaller farms, renting a service could make more sense than purchasing a drone and learning how to operate it. INTERVIEW INTERVIEW
This led to the core product idea:
Don't make farmers buy the technology. Let them book the service.
The opportunity
The research pointed towards a service marketplace rather than a drone-control application.
The product needed to help farmers answer:
What service do I need?
Who can provide it?
How much will it cost?
When can it happen?
That became the foundation for AgroAir.
I looked at existing drone platforms to understand how the category communicates its services.
TropoGo covers multiple parts of the drone ecosystem, including insurance, loans, training, jobs, drones and spare parts. KisanKopters focuses more directly on connecting farmers and drone operators. DJI Agriculture focuses on agricultural drone technology, spraying systems and automation.
A few patterns stood out:
Keep the interface simple.
Make the farmer–operator connection clear.
Explain the service before the technology.
Use strong visual examples of the work.
Keep booking information straightforward.
The competitive review helped narrow AgroAir's focus around service discovery and booking rather than trying to become a complete drone ecosystem.
Product direction
Discover → Choose → Book → Track
AgroAir was structured around a simple service flow.
Discover
Find services such as spraying, mapping and crop monitoring.
Choose
Compare the service, price, operator and available details.
Book
Select the service and request a date.
Track
Keep upcoming and previous services accessible from one place.
The goal was to make drone technology feel like a service you can use, rather than a piece of equipment you need to understand.
The booking experience
The booking flow was designed around the information required to make a decision:
Service → Price → Details → Date → Booking
Instead of presenting the drone first, the experience starts with the farmer's task.
For example:
Pesticide Spraying
₹2,499 / acre
Then the user can understand what the service includes and decide whether to book it.
This keeps the product focused on the job to be done rather than the complexity of the equipment behind it.
A marketplace for drone-based agricultural services.
AgroAir connects farmers with drone operators who can provide services such as:
Pesticide and fertiliser spraying
Crop monitoring
Aerial mapping
Soil and field analysis
The product brings discovery, booking and service history into one place.
Rather than asking farmers to learn how to operate a drone, AgroAir lets them book someone who already can.
Designing trust
A major challenge with a relatively unfamiliar service is trust.
The interface therefore uses:
Operator profiles
Service details
Pricing
Ratings and reviews
Previous services
Booking status
Clear service information
The intention is to answer the questions a farmer might have before committing to a service.
AgroAir evolved from a simple “drone as a service” idea into a more focused marketplace concept.
The research changed the emphasis from the drone itself to the service around it.
The final product focuses on three things:
Make the service easy to find.
Make the booking easy to understand.
Make the operator relationship visible.
The project also taught me that introducing new technology isn't only about explaining what the technology can do.
It's about fitting that technology into a workflow people already understand.
The problem wasn't the drone
Farmers already have work that needs to be done.
The difficulty is often finding the people, equipment and time to get it done.
In the interviews, labour availability came up repeatedly. Spraying and fertiliser application were also described as difficult tasks, while agricultural drones were seen as useful but still unfamiliar technology.
That led to a different question:
What if farmers could simply book the service instead of owning the technology?
From drone to service
AgroAir turns drone technology into a service marketplace.
Discover
Find agricultural services.
Choose
Compare service and operator details.
Book
Request the service when it's needed.
Track
Keep bookings and service history in one place.
The product is not about teaching farmers how to fly a drone.
It's about making the technology accessible through someone who already knows how to use it.
User Interface
Technology only matters when people can actually use it.
AgroAir started with drones.
The research shifted the project towards something more practical: making drone-based services easier to discover and book.
The final concept connects two sides of the system — farmers who need the work done and operators who have the technology to do it.
From owning the technology to accessing the service.
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