MycoLog

Mushroom cultivation demands environmental precision that most hobbyists track manually or not at all. Temperature, humidity, and CO2 levels must stay within narrow ranges that shift across growth stages -- colonization, pinning, fruiting -- and even small deviations can stall growth or invite contamination. I built MycoLog to replace guesswork with continuous, automated monitoring that adapts to each stage's requirements.

The IoT sensor layer was the core technical challenge. I prototyped across three connectivity approaches -- Bluetooth Low Energy for short-range low-power sensors, WiFi for always-connected devices, and hybrid BLE-to-WiFi bridges for flexible placement. Browser API compatibility varied significantly across Android and iOS, requiring platform-specific workarounds for BLE pairing flows. After extensive calibration testing, the sensor pipeline achieved 99.2% data accuracy with sub-second latency on local reads.

Data visualization drove the UX design: time-series charts with threshold overlays let growers spot environmental drift at a glance, while QR-based substrate batch tracking ties environmental conditions back to specific inoculation-to-harvest cycles. The app is currently in closed testing with 2 active users, iterating on alert tuning and sensor reliability across multi-room setups before expanding the testing group. Validating that the interaction language translates across domains--from filament tracking to environmental monitoring--shaped our sensor integration approach.