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Project 02 · IoT Systems · Python

Smart Farm Environmental Monitor

Designed and deployed a full IoT monitoring system for a greenhouse farm in Accra, providing real-time visibility into five parameters — water depth, temperature, soil moisture, food storage humidity, and nursery light levels. Sensors connected to Node MCU via a local MQTT broker; data visualised using Python and Seaborn.

5
Sensor types
RT
Real-time
Local
No cloud dep.
TEMP MOISTURE HUMIDITY LIVE
Overview

A farm manager in Accra needed visibility into conditions across several parts of a greenhouse operation — well water depth, greenhouse temperature, soil moisture, stored food humidity, and nursery light levels — without relying on manual checks or a cloud subscription.

How it works

Outcome

A real-time, locally-hosted monitoring dashboard covering five distinct environmental parameters, demonstrating an end-to-end IoT pipeline from sensor to message broker to data visualisation — entirely without a cloud dependency.

IoTNode MCUMQTTPythonSeaborn
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