IoT based Smart Aquaculture System with Automatic Aerating and Water Quality Monitoring

Abstract

Aquaculture is a vital economic and food source in numerous countries. However, because of environmental limitations and the impact of aquatic diseases, aquaculture requires considerable manpower, involves high material costs, and relies on the experience of aquaculturists to increase production capacity. Water quality is among the most crucial elements in aquaculture. Accordingly, in this paper, we propose an IoT-based smart aquaculture system (ISAS) for detecting the water quality of an aquafarm and providing automatic aeration to increase the survival rate of aquatics. In the ISAS, the parameters used for detecting water quality are temperature, pH value, dissolved oxygen, and water hardness, which are recorded using different sensors. Users can check the condition of an aquafarm from the sensed data. Moreover, the ISAS can automatically control the aerator and feeder of an aquarium on the basis of sensed data and predefined fuzzy rules. Our experiments revealed that under the same conditions, the shrimp survival rate in an ISAS-based aquarium increased by 33.3% compared with that in conventional aquariums.