IoT based Environmental Assessment of Aquatic Ecosystem

This study uses sensors to measure variables including pH, Total Dissolved Solids, dissolved oxygen, and CO2. Then, it shows the data on the Internet of Things cloud to track the health of aquatic ecosystems. Data was gathered for the study using sensors and Arduino micro-controllers, which were analyzed to determine the ecosystem’s health. The findings demonstrate that using IoT technology to measure factors in water bodies is a useful method of monitoring their health. The challenges faced by existing systems include the need for frequent sensor calibration, difficulty in ensuring data accuracy, and the risk of system failure due to sensor malfunction or data loss. The proposed system addresses these challenges by incorporating multiple sensors for redundancy, using machine learning algorithms for data analysis, and implementing an automated calibration system. The results can be utilized to create plans and laws that will safeguard and preserve aquatic environments. As a result, it is recommended to continue researching and developing the use of IoT technology for monitoring the health of aquatic ecosystems as it is viable strategy for maintaining their long-term survival.