Automated Greenhouse Control Network
Client Partner: FloraCult Agrosystems · Build Timeline: 6 Months
Project Tech Stack
Allocated Engineering Pod
- IoT Firmware Engineersx2
- Full-Stack Developerx1
"FloraCult greenhouses now monitor environment levels automatically, saving crop yields."
Emma Watson
Operations Lead
1. Context & Business Goal
The Core Challenge: Greenhouse shifts in temperature and humidity went unnoticed, reducing flower crop quality.
The Agreed Objective: Deploy wireless sensor networks to track environmental metrics and automate watering lines.
2. Technical Research & Discovery
Tested battery setups to ensure remote hardware runs for years without battery swaps. Prior to writing any code, our team compiled reference data frameworks and mapped API endpoints to identify speed limits.
3. System Architecture Design
Layout Scheme: Greenhouse layout maps showing sensor node levels and active watering valve statuses.
Database Infrastructure Setup: Firmware in C/C++ running on Microcontrollers, sending coordinates via LoRaWAN to MQTT brokers.
4. Production Implementation Lifecycle
Firmware Optimization
Configured power management sleep routines on microcontrollers.
Valves Control Logic
Programmed server triggers to open watering lines based on humidity levels.
5. Validated Business Outcomes
- ✓Maintained stable humidity levels, increasing flower yields by 24%.
- ✓Automated watering configurations, saving 30% in water utility bills.