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A Survey on Air Pollution Detection Techniques Using IoT and Machine Learning

EasyChair Preprint no. 9547

11 pagesDate: January 5, 2023


Air pollution can cause a ramification of detrimental health troubles that are uncovered to excessive levels of pollution. Pollutants in the air can cause various health issues like irritation inside the eyes and throat, dirt hypersensitivity, cancer, asthma, and lots of greater. In the air, lots of gases are affecting the surroundings. Several gases like SO2, PM2. 5 (particulate depend), PM10, sulphate, carbon, and nitrogen are mixed inside the air and affect the surroundings. From this trouble declaration, we got here to recognize that these strategies will help to change the situations that arise in the air which lay low with the gases. Using the Pollution Control Equipment method and the IOPT terminal, we need to address the issues that arise inside the air. The MQ series sensors, ESP8266-wireless module, and ES01 devices of IoT will help to resolve this problem.

Keyphrases: air pollution, ESP8266 modules, Internet of Things, MQ-Sensor

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Aluri Chandana and Sriram Bhanuja and Malladi Jayanthi and Sanaka Meghana and Satish Thatavarthi and Pachipala Yellamma},
  title = {A Survey on Air Pollution Detection Techniques Using IoT and Machine Learning},
  howpublished = {EasyChair Preprint no. 9547},

  year = {EasyChair, 2023}}
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