Designing and Implementing IoT-Based Water Quality Monitoring and Control System of a Pilot Scale Deep Flow Technique Aquaponics for Enhanced Crop-Fish Production

Abstract

Aquaponics is an agricultural model that combines aquaculture and hydroponic cultivation systems, which can be a solution for expanding agricultural land in urban areas. The success of an aquaponics system heavily relies on maintaining optimal pond water quality, which serves as a vital source of nutrition for plants and ensures the survival of fish. Many studies have been conducted to build a system that maintains the good quality of pond water, but much of it only utilizes a limited number of parameters. This study was conducted to develop a robust control system capable of monitoring and regulating the water quality parameters, temperature, pH, dissolved oxygen (DO), and total dissolved solids (TDS), in real-time using IoT based system and fuzzy logic as a control method for decision-making. Users can monitor the condition of the pond using web interfaces that can be accessed via desktop or mobile devices. The design implementation results on the DFT aquaponics system showed an increase in the growth of paddy crops and tilapia with precision data recorded on the cloud server of 94.11%.