Smart and Simple Data Driven Hydroponic Sensing Applications Using Python, Flask & Raspberry Pi
summary
Hands-on build that uses Raspberry Pi to read sensors (one-wire nutrient probe and DS18B20 submersible temp, Adafruit DHT for air temp/humidity, TSL2561 light), records readings every 15 minutes, captures a photo hourly, and pushes data plus images to MongoDB on mLab via GridFS, then serves live charts with Flask + Bokeh on PythonAnywhere. Code, parts list and wiring are on GitHub; system runs reliably from an SSD-backed Pi but photos occasionally lag and a tripped power plug is the main failure mode.
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