Real-Time Water Quality Monitoring in Aquaculture using IoT Sensors and Cloud-Based Analytics

Abstract

The health and productivity of aquatic creatures in aquaculture systems depend on maintaining ideal water quality conditions. The production of seafood worldwide is significantly influenced by aquaculture. Conventional monitoring techniques can entail lengthy processes, are rare, and lack the promptness necessary to prevent and alleviate unfavourable circumstances. This study proposes a novel method for monitoring water quality in real time in aquaculture, utilising cloud-based analytics and Internet of Things (IoT) sensors. Within aquaculture facilities, strategically positioned Internet of Things (IoT) sensors continuously collect information on key water quality factors, such as water and air temperature, light intensity, humidity, pH levels, wind speed, and ammonia nitrogen content. A cloud-based analytics platform receives real-time data from these sensors, processes it using cutting-edge algorithms, and then analyses the data. This holistic approach offers a variety of advantages. Real-time monitoring enables aquaculturists to quickly spot deviations from ideal conditions, lowering the danger of disease outbreaks and aquatic species mortality. To optimise farming practises and resource allocation, historical data gathered in the cloud is used to build predictive models. Aquaculturists may monitor and manage their systems remotely, which improves operational efficiency and lessens the need for on-site staff. This is a major benefit. The system can also send warnings and alarms in the event of anomalous circumstances, ensuring quick reactions to urgent situations.