Germaine Ng

HydroFarm

Smart irrigation · Urban agriculture · IoT
Problem: Urban farmers needed a way to use water more efficiently without adding complexity to their workflow.
Design Philosophy
Sustainable Farming Practice
Accessible
Human Centered
Improve water efficiency while maintaining the yield production.
Lower the techology barrier for new urban farmers
Combat food insecurity together as well as stimulate a local economy.
Built For Your Needs
Our solutions
Drip Irrigation
Smart Automated Irrigation System
Improve water use + Increase yield production
A low-cost, low maintenance smart solution that aims to lower barrier to entry for urban farmers.
Hardware and Software Architecture

Our architecture combined LoRa, Raspberry Pi, Azure IoT Hub, Azure Stream Analytics, Power BI, sensors, and automated drip irrigation.

MONITOR
Power BI provides visibility into system and environmental data.
ACT
The system triggers a relay and water pump when irrigation is needed.
ANALYZE
Azure IoT and Stream Analytics process the incoming information.
CONNECT
LoRa boards transmit data through the network to a Raspberry Pi.
SENSE
Sensors collect soil moisture, temperature, and humidity data.
How It Works
Translate user problems into technical requirements
Balance usability, cost, and technical feasibility.
Design for real-world constraints- not ideal conditions.
WHAT I LEARNED
Technology is only valuable when it fits the user's reality.
Awards
GIX Innovation Competition 2021 Champion
Selected through a two-stage review process from 60+ submissions representing 14 countries worldwide.
Sponsored by Microsoft FarmBeats, the UW MS in Technology Innovation Program, and the Paul G. Allen School of Computer Science and Engineering.
Azure IoT Hackathon for Sustainability Finalist
Finalist + Honorable mention, 327 participants