Gist ad9d134855a9dc2af500b27ddb3f89ba

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Gist ad9d134855a9dc2af500b27ddb3f89ba

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Last edited Mar 10, 2025

Created on Mar 10, 2025

This example demonstrates a complete Internet of Things workflow, showing how to collect, store, and visualize sensor data from a smart agriculture scenario. It uses an InfluxDB time-series database running on an Amazon EC2 instance to manage temperature, humidity, luminosity, and soil moisture readings. The data is generated by a Mockaroo CSV export and imported through the InfluxDB CLI, then queried with InfluxQL and the Flux language’s `aggregateWindow` function. The final step renders interactive trend charts in the InfluxDB dashboard, illustrating the full path from raw sensor simulation to analytical visualization.

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