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IoT-Based Aquaculture Monitoring System by Novelyn Rabino is a document available to read on EtoBox.

This chapter outlines the research methodology used in the project. It describes the required hardware and software components, including temperature, pH, turbidity, and water level sensors, a water pump, and an Arduino microcontroller. The system architecture uses these components connected to a server that analyzes the sensor data and controls actuators. When thresholds are met, data is sent from the sensors and microcontroller to the server and applications for user viewing and decision making.

Author
Novelyn Rabino
Language
EN