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@article{160851,
        author = {Addasherla Pranay and Annamneedi Ramakrishna and Chelimela Naveen and Aadi Madhusudarshan and D. Prasanth Varma},
        title = {An efficient tracking system for air and sound pollution using IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {1473-1477},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160851},
        abstract = {Air pollution, due to some losses is increasing day by day affects the environment and causes biodegradation.This may be due to rapid economic growth and urbanization.Some directly affect people's health and cause population degradation. In order for the future to be good and healthy for everyone, it is very important to control and control the air quality and sound level. To overcome this problem, we create a model by creating a noise problem and the presence of pollution in the environment can be detected. The model recognizes the presence of pollutants and compounds in the air using a wind and sound sensor, respectively, and continues to connect this information to the microcontroller. More pollution like testing issues started to cause problems for people.Toxic substances in the air can be hazardous to human health and require special precautions. The model continuously measures the noise and calculates them online via the IoT to the host. Thanks to the use of the Internet, audit data can be retrieved from remote locations without easy access. The nature of this monitoring model depends on the information structure of the organization or the cooperation between decentralized sensor and data conversionunits.},
        keywords = {MQ135 sensor, sound sensor module and ATmega328P arduino microcontroller},
        month = {},
        }