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Smart Water Quality Monitoring System Using IoT
Intermediate
ARDUINO
Project Specific
3 – 6 Hours
Partial Kit

Smart Water Quality Monitoring System Using IoT

An IoT-based water quality and aquaculture monitoring system that tracks pH, temperature, and soil moisture using Arduino and NodeMCU, displaying real-time data on a web server.

Originally published on CircuitDigest
View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Turbidity / pH / TDS Sensor

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How It Works

Why Build This

Gain practical experience deploying multi-sensor IoT architectures suitable for modern precision agriculture and aquaculture management.
Learn how to integrate distinct microcontroller platforms—combining the robust analog reading capabilities of an Arduino Uno with the Wi-Fi connectivity of an NodeMCU.
Develop functional web servers on microcontrollers to stream and visualize real-time environmental data streams for remote monitoring.

Real-World Application

Agriculture, aquaculture, wastewater treatment, and environmental monitoring for efficient crop and livestock management.

Skills You'll Learn

Analog sensor interfacing
OneWire digital communication
microcontroller-to-microcontroller serial communication
Wi-Fi network integration
JSON data serialization
web server hosting on microcontrollers

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Frequently Asked Questions

The Arduino Uno provides reliable analog-to-digital conversion and digital pin support for the various sensors, while the NodeMCU handles the Wi-Fi connectivity needed to host the web server, as the Uno lacks built-in wireless capabilities.
The DS18B20 uses a specialized digital protocol called OneWire, which allows it to transmit precise temperature data over a single data line using the corresponding Arduino libraries.
Yes, the components can generally be powered during development via USB connections, provided the power supply is stable enough to support both microcontrollers and the active sensors simultaneously.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-00260