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@article{151915, author = {Karthik J and Amalu S Panicker and Adarsh Sudarsanan and Sachu Pradeep and Mohamed Samshad and Arun C and Praveen Raj}, title = {Air Pollution Detection Using UAV}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {8}, number = {1}, pages = {1332-1337}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=151915}, abstract = {Due to the increase in the population there is an increase in the air pollution. The air pollution has a vast impact on the economy, environment and health of the people. The major pollutants are particulate matter, nitrogen dioxide, carbon dioxide, sulphur dioxide, carbon monoxide, methane etc. These pollutants can be either manmade or naturally occurring. The current method of measuring air pollution is by using sensors fixed over building over an interval of distance. The disadvantage of this method is that each building will be using more power for its sensor part and also this method cannot be used in rural areas with fewer buildings. This problem is removed by using environmental drones or e drones for monitoring and analysis of air pollution. Drone is a very useful technology as it helps to reach places where humans can’t reach. It is also known as unmanned Aerial vehicle (UAV). The main aim of this project is to develop an environmental drone for autonomous monitoring, analysis, and countering of air pollution. Various low-cost sensors are used to measure the humidity, temperature, pressure, wind speed, precipitation at different heights of a particular area. Air Quality Index (AQI) is measured by measuring the concentration of different pollutants in an area. These data from the drone is sent to the base station via wireless communication to the base station for AQI mapping. The threshold values of the pollutants have already been standardized. }, keywords = {AQI, UAV, Air Pollution, Mapping, QGIS}, month = {}, }
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