IoT-Based Automated Water Monitoring and Correcting Modular Device via LoRaWAN for Aquaculture

Abstract

In the aquaculture industry, the slow growth of fishes and fish kills in fisheries are the problems encountered by every fish farmer. Water quality is a critical factor and must be monitored when culturing any aquatic organism; however, most of the fish farmers do not consider it since water testing and water sensors are costly and not user-friendly. In order to solve this problem, we have created an Internet of Things-connected modular device that will assist the local fish farmers via their smartphone using our application for real-time monitoring and setting up the device, and data storage. The modular device consists of different water sensors such as pH, water level, temperature, dissolved oxygen, total dissolved solids, oxidation reduction potential, and turbidity. These sensors, together with different actuators such as aerator, water filter, peristaltic pump, water pump, fish feeder, and heater will help monitor and correct the abnormalities in the water environment. The readings made by the proposed modular device were compared with the Bureau of Fisheries and Aquatic Resources-National Inland Fisheries Technology Center (BFAR-NIFTC) multimeter. A low percentage difference between their readings is below 2%, which is within the accepted value.