Development of IoT-Based water quality monitoring system for Biofloc fish farming

Abstract

This research presents the development of a system for monitoring water quality parameters in a fishpond biofloc system using IoT technology to assess key water quality parameters in the fishpond. The research consists of two parts: Part 1 involves the development of a system to monitor important water quality parameters in four fishponds simultaneously through a single monitoring station. It also includes controlling aeration to suit the amount of microbial in the fishpond using an inverter system. This system can measure parameters such as dissolved oxygen levels, pH, microbial quantity, water temperature, and air quality in the fishpond area. Experimental results demonstrate that the system can effectively monitor water quality parameters for all ponds, provide real-time results, and control aeration according to microbial levels in the biofloc fishpond system. Part 2 involves the development of sensors to measure microbial using light-based techniques to address cost issues in monitoring systems. The prototype sensor utilizes Light Emitting Diodes (LEDs) as a light source emitting at a narrow frequency band with a wavelength of 860 nanometers. It measures light absorption through Photo Diodes (PD) to determine microbial levels in the system. Experimental results show that the prototype sensor can effectively measure and indicate trends in microbial levels, with an average error of 28.56%. It can also describe changes in microbial characteristics within the system, indicating significant progress in developing a simple, cost-effective, and reliable real-time water quality monitoring method.