IoT-based aquaponic system for improved crop and fish yield / Muhammad Amiruddin Khairuddin

This project is to improve the inefficiencies and negative environmental impacts associated of traditional fish farming methods by proposing an IoT based aquaponic system. Existing aquaponic systems lack precision in terms of control and monitoring, limiting their potential to enhance crop and fish yields. To overcome these limitations, the project used IoT technology to monitor and control crucial aspects of the system, including water quality, water levels, and fish food. The methodology involves using the Arduino Uno as the microprocessor and the NodeMCU ESP8266 as the Wi-Fi module, along with other sensors such as pH sensors, water level sensors, and temperature sensors. The system also used a water pump, LED lights, an automated feeding system, and Blynk for monitoring the system. Through real-time monitoring and remote-control capabilities, the IoT-based aquaponic system aims to optimize the aquaponic system to create optimal conditions for plant and fish growth. In summary, this project proposes an innovative and sustainable for agriculture and aquaponics by leveraging IoT technology. By providing precise control and monitoring, the IoT-based aquaponic system has the potential to significantly increase productivity and sustainability while reducing resource usage and negative environmental effects