A Smart Fishpond Water Quality Monitoring and Control System

Abstract:

Measuring and controlling Fishpond water quality is a significant challenge in fish farming, especially in Africa, and has posed unexpected loss and poor yield, thereby increasing the demand for supply of fish in many African countries. Various factors, such as untimely or inefficient measurement and control of water quality parameters, availability of water, environmental factors, and climate change have affected the production of fish. Therefore, water conservation and water quality management have become crucial factors for improved productivity, especially for African fish farmers. The proposed study presents the prototype of smart water quality monitoring and control system based on the use of Internet of things (IoT) and web technology. The implementation of the proposed water quality monitoring and control model was carried out using simulation and experimental methodology via the functional modules (the use of sensors and NodeMCU or ESP8266). The proposed system is made up of two parts: the monitoring and control parts. Data from sensors are displayed via a webpage and stored locally in a MongoDB database which the farmer can make reference to or delete when necessary. Lethal changes in water quality parameters are controlled using two automatic control valves or solenoid valves. One of the valves is programmed to control temperature and the other to regulate turbidity. The control approach and solution are designed to fit the African agricultural settings.

Keywords: fishpond, water quality, control system, internet of things.