From Black-Box Sensor App to Research-Grade Monitoring: A DIY Greenhouse IoT Stack with InfluxDB
Session Date: Jun 25, 2026
Time: 8:00am (PT) | 3:00pm (GMT) | 4:00pm (BST)
After 15 years in product and program management at Meta, eBay, and PayPal, and with a recent MSc in AI, Dan Bujoreanu has turned his attention to a different kind of infrastructure problem: keeping a greenhouse alive with reliable data and building a sustainable food-growing project in the process.
The commercial sensor app that came with his Ecowitt hardware (a modular ecosystem of Wi-Fi gateways, consoles, and sensors) couldn’t guarantee data security and offered no path to real analysis. So he built his own stack: IoT sensors writing to InfluxDB, visualized in Grafana, and running on a self-hosted Intel NUC. It takes measurements every five minutes, and the data is written to and analyzed using an open source stack where he owns his data. The project will release its full microclimate dataset as open source in 2027, alongside findings on optimal growing conditions in Ireland.
In this session, Dan walks through his architecture, the specific gaps that led him to abandon the commercial sensor app, and how InfluxDB handles the time series nature of continuous environmental monitoring. He’ll also cover what he’s planning next: integrating weather forecast data for energy prediction (for a separate project) and evaluating InfluxDB 3 for its SQL interface and built-in processing engine.
