Design and implementation of IoT based ideal fish farm in the context of Bangladesh aquaculture system

Abstract

This research proposes an IoT based ideal fish farm that will be low in cost and high in fish production level. A WEMOS D1 microcontroller is engaged in determining various essential attributes of the water like pH, oil layer, water level, temperature, and the fish behaviour to recognize their hungry level that have a great effect on the fast growth of the fish. Through our developed mobile app and a user-friendly web interface the end user will be notified this information. The ESP8266 wifi module is built in the D1 microcontroller through which the system transmits the data to the web and mobile app. In case of exceeding the predefined threshold value, the system considers it as an abnormal situation and notify the concerned authority to take the necessary steps. Moreover, the prediction of the next day required fish food and other parameters assist the fish farmer in taking a precaution step makes the system more unique and exceptional. Through these features, a fish farmer may produce more fish, and the protein challenge for the large population will be diminished drastically.