Paper Title
Monitoring Of Air And Water Quality Using IOT And Machine Learning
Article Identifiers
: Authors
Keywords
Internet of Things, Sensors, Microcontroller
Abstract
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.
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How To Cite (APA)
Palivela Hema, Kintali Ajay Kumar, Nakka Likhitha, Buddi Harsha Vardhan, & Tagaram Santhi Salomy (March-2023). Monitoring Of Air And Water Quality Using IOT And Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), e6-e12. https://ijnrd.org/papers/IJNRD2303402.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : e6-e12
Other Publication Details
Paper Reg. ID: IJNRD_189652
Published Paper Id: IJNRD2303402
Downloads: 000122253
Research Area: Engineering
Author Type: Indian Author
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303402.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303402
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