Plant Behavior Monitoring System
CLIENT
Independent Research
YEAR
2023
INDUSTRY
AgriTech & Hardware
SERVICES
Embedded Systems · ROS 2
Key Highlights
Dual-PCB Architecture
Architected a master-slave hardware configuration to automate environmental research. The Master PCB utilizes an ESP32-CAM for real-time visual monitoring, while an ESP32 WROOM DEVKIT V1 handles data processing and network transmission. The Slave PCB acts as a dedicated sub-module, emitting specific light wavelengths at programmed intervals.
Automated Data Logging
Developed a complete data pipeline that pushes captured images and telemetry directly to a Firebase backend. The system automatically categorizes and stores the data in chronological folders, eliminating manual data collection and allowing for uninterrupted, long-term behavioral analysis.
Streamlined AgriTech Research
Successfully replaced manual observation methods with a continuous, automated IoT system. The integration of custom printed circuit boards with cloud database infrastructure provided researchers with a reliable, hands-off tool for logging plant responses to environmental stimuli over extended periods.
Designed for measurable product growth
Every design decision focused on improving usability, increasing engagement.
2
Custom PCBs
Designed discrete Master (Camera/Network) and Slave (Lighting) boards.
24/7
Continuous Logging
Automated visual data capture and cloud upload via Firebase.
1
Custom Application
Developed a dedicated software interface to manage the sensor network.
