How does IoT improve air quality monitoring?
IoT enhances air quality monitoring by using connected sensors to collect real-time data on pollutants.
What types of sensors are commonly used in IoT for air quality?
Common sensors include those for measuring particulate matter, CO2, NO2, and ozone levels.
How is the data from these sensors analyzed?
The data is analyzed using cloud computing and AI algorithms to identify trends and provide actionable insights.
Can IoT help in reducing air pollution?
Yes, by providing real-time data, IoT can help authorities make informed decisions to reduce pollution.
Are there any challenges in implementing IoT for air quality monitoring?
Yes, challenges include data privacy, sensor calibration, and ensuring network connectivity.
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