Monitoring Of Air And Water Quality Using IOT And Machine Learning

Palivela Hema , Kintali Ajay Kumar , Nakka Likhitha , Buddi Harsha Vardhan , Tagaram Santhi Salomy

Internet of Things, Sensors, Microcontroller

Ensuring the quality of air and water is crucial to maintain a healthy environment and to prevent the spread of various diseases. With the increasing concerns about environmental pollution, it is necessary to continuously monitor the parameters of air and water quality to avoid any adverse effects on human health and the ecosystem. It provides accurate and timely information on the quality of air and water in a particular location, enabling users to make informed decisions regarding their health and well-being. The system employs multiple sensors and devices to collect environmental data, which is then stored in an Excel sheet by connecting devices through a data streamer. It aims to provide precise and real-time information on parameters such as harmful gasses, particulate matter, and total dissolved salt levels. This uses the Random Forest classifier as a model to predict air and water quality. The proposed IoT-based system provides a cost-effective and scalable solution for monitoring air and water quality in real time, allowing for timely intervention to mitigate pollution and enhance overall public health.

Published Paper   E-Certificate

"Monitoring Of Air And Water Quality Using IOT And Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e6-e12, March-2023, Available :https://ijnrd.org/papers/IJNRD2303402.pdf

Volume 8 Issue 3, March-2023

Pages : e6-e12

Paper Reg. ID: IJNRD_189652

Published Paper Id: IJNRD2303402

Downloads: 000118848

Research Area: Engineering

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303402

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303402

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition