What are performance metrics of iot based water quality monitoring system?
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A performance metric of IoT-based water quality monitoring systems is the ability to measure and collect data on various water quality parameters in real-time . These parameters include temperature, pH, turbidity, electric conductivity, air quality, and more . The core controller of the system processes the data collected by sensors . Machine learning algorithms, such as Artificial Neural Network (ANN) and Support Vector Machine (SVM), can be used to forecast the impurity level of the water measured . Additionally, the system can provide automated corrective measures based on the level of water contamination . The system can also monitor the quantity of water being monitored using a water flow sensor . Overall, IoT-based water quality monitoring systems offer real-time monitoring, data collection, and analysis capabilities, as well as the ability to predict and respond to water contamination .
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| The provided paper does not mention the performance metrics of the IoT-based water quality monitoring system. |
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IoT can be utilized for water quality and conservation through real-time monitoring, control, and distribution of water, as well as the detection of leaks and overflow. It enables efficient distribution of water based on individual needs, remote access control, and monitoring of water quantity and quality ^[Swathi S] ^[Simone E. C. LESSA]. Additionally, IoT facilitates the use of sensors for water level and consumption tracking, leading to effective water utilization and conservation ^[P. Manikandan] ^[Avita Katal].
Step 3: Answer with citation
IoT can be utilized for water quality and conservation through real-time monitoring, control, and distribution of water, as well as the detection of leaks and overflow, enabling efficient distribution of water based on individual needs, remote access control, and monitoring of water quantity and quality ^[Swathi S] ^[Simone E. C. LESSA]. Additionally, IoT facilitates the use of sensors for water level and consumption tracking, leading to effective water utilization and conservation ^[P. Manikandan] ^[Avita Katal].
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