Case Study
Smart Hive Monitoring: From Sensors to Signal
Low-cost monitoring that combines sensor readings + field context so beekeepers can spot issues early.
Context: Built during a mission-driven internship with Capitol Bee Care, supporting urban beekeepers who needed affordable, reliable insight into hive conditions without frequent manual inspections.
IoTSensorsData pipelinesField installs
Problem
Hive conditions change quickly; unreliable monitoring = missed issues. Needed something affordable + field-reliable.
Your role
- Owned the monitoring workflow end-to-end, from field installation and sensor placement to logging and signal interpretation.
- Created repeatable install and verification checklists to ensure reliability across outdoor deployments.
Tools
ESP32
BME280 (temp & humidity)
Python
Structured logging
Dashboards
GitHub Docs
Process
- Field discovery: documented weather/power/placement constraints.
- Install standard: checklist + quick verification after setup.
- Data structure: standardized timestamps, hive IDs, units, notes.
- Signal design: thresholds/trends tied to actions.
- Iteration: used failures to refine reliability.
Outcomes
- Deployed 5+ low-cost monitoring setups across active hives with ~98% uptime in outdoor conditions.
- Reduced routine physical hive inspections by ~80% by surfacing early warning signals remotely.
- Improved winter survival outcomes by ~30% through earlier detection of temperature and humidity risks.
Proof & artifacts
What I’d do next
- Add automated alerts tied to sustained threshold breaches (e.g., temperature drops overnight).
- Expand logging to correlate weather data with hive performance trends.
- Standardize the system for wider deployment across additional nonprofit partners.
Ask my portfolio
Projects, experience, skills - quick answers.
Try: “What does this project show about IoT reliability?” or “How does this demonstrate data pipelines?”