Smart measurement of water quality parameters and monitoring fish health

Abstract

Every aspect of our daily lives is becoming more reliant on technology as it advances. Smart data measurement (smart data is information from which signals and designs have been extracted by using algorithms) is currently a critical feature in a variety of industries, including industrial, medical, aquaculture, and agriculture. Ammonia, pH, temperature, water level, dissolved minerals, and other water quality parameters are critical for aquaculture. We have used various sensors which are utilized to monitor water quality, and the information gathered will allow farmers to monitor fish health and take appropriate action. This smart measurement of parameters will reduce the labor and waste of water in aquaculture and also increase the productivity by a large quantity specially done on Biofloc. We have seen that people in Bangladesh are gradually moving towards Biofloc aquaculture. They have started this system by trial-and-error process which is generally lengthy, time consuming and waste. In our paper we tried to construct a system which will provide them with a proper set of date and allow to keep the water quality parameters at its optimum range. This will ensure more effective and hassle-free aquaculture and increase fish productivity by taking necessary steps if any parameter changes.