An IoT Water Quality Monitoring System for Shrimp Farming in Aquaculture

One of the significant industries that expect significant growth in the upcoming year is shrimp farming. To get beyond most of the legislative barriers that have constrained local development, new technologies or ways to boost shrimp production have been commercially incorporated into the world's best practices on-farm management production systems. The farmers use a variety of techniques to monitor the water quality, however, some of the techniques need to be improved. Climate change and pollution may have an impact on the habitat of aquaculture, particularly shrimps. Therefore, real-time monitoring for analysis, monitoring, and observation can improve the water quality index. The aim of this work is to design and create a prototype of an IoT-based monitoring system for real-time data on water quality that can promptly notify shrimp farmers of any deviations from ideal conditions, including those related to water temperature, pH, dissolved oxygen, and turbidity. Additionally, this research focuses on leveraging IoT to assess the effectiveness of the system for monitoring water quality. A prototype for real-time data collection using IoT technology for monitoring aquaculture water quality will be created. Finally, a system for data aggregation and Internet of Things dashboard monitoring of water quality via the cloud will be developed. This technology is anticipated to boost shrimp industry productivity and accuracy while forecasting environmental conditions and managing hazards through proactive water quality monitoring.