01 / CONTEXT
The problem to solve
Explore how connected devices and cloud services can support a scalable, data-informed farming setup.
02 / ENGINEERING
From need to system
- Combine Raspberry Pi and Arduino components in a connected prototype.
- Collect and relay sensor readings across the system.
- Use Azure as part of the cloud platform.
- Document the project through its source repository and school wiki.
03 / DESIGN DECISION
A meaningful choice
Bring the device layer and cloud layer together in a practical IoT prototype.
04 / EVIDENCE AND LIMITATIONS
What is actually documented
The public README describes the project as a connected, scalable farm using Raspberry Pi, Arduino and Azure. The repository does not provide independently verified field results.
05 / NEXT VALIDATIONS
How I would strengthen the proof
- Review the original project wiki for implementation details.
- Reproduce the device-to-cloud flow with current hardware.
- Document data quality and reliability constraints.
These are planned validation steps, not already measured results.