IOT based water pollution monitoring and classification using machine learning algorithms

We consume an excessive quantity of water in our daily lives, thus it’s critical to protect it. It is difficult since there are many causes of pollution, the most of them are caused by humans. Undisposed industrial waste, non-biodegradable pollutants, and over-exploitation of natural resources are s...

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Bibliographic Details
Main Authors: Moses, Leeban, Shanmugam, Karthikeyan, Palanisamy, Ramya, Ravikiran
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Drinking water
Industrial wastes
Machine learning
Natural resources
Pollution monitoring
Position measurement
Reservoirs
Turbidity
Water pollution
Water quality
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Summary:We consume an excessive quantity of water in our daily lives, thus it’s critical to protect it. It is difficult since there are many causes of pollution, the most of them are caused by humans. Undisposed industrial waste, non-biodegradable pollutants, and over-exploitation of natural resources are some of the primary causes of water pollution issues. This project assists the public in keeping an eye on the quality of the water in lakes, rivers, dams, and reservoirs. People are becoming more concerned as the issue of water contamination poses a serious threat to the sources of our drinking water. The fact that the reservoirs and pipelines that deliver water to homes are often discovered to be in poor condition adds to people’s worry about the quality of their drinking water. Controlling water pollution starts with being able to measure its actual amount. We can calculate the water’s pH and turbidity values, measure the pollution in the water, and determine the state of the water quality. Following that, we will be in a position to take specific action according to the water quality.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0240024