Research Article
Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh
@ARTICLE{10.4108/eai.18-8-2020.165995, author={Md. Al-Farabi and Muntasir Chowdhury and Md. Readuzzaman and Md. Rafat Hossain and Saifur Rahman Sabuj and Md Akbar Hossain}, title={Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh}, journal={EAI Endorsed Transactions on Smart Cities}, volume={5}, number={14}, publisher={EAI}, journal_a={SC}, year={2020}, month={8}, keywords={Arduino Nano, Environment Monitoring, Regression Model, Sensors, Unmanned Aerial Vehicle}, doi={10.4108/eai.18-8-2020.165995} }
- Md. Al-Farabi
Muntasir Chowdhury
Md. Readuzzaman
Md. Rafat Hossain
Saifur Rahman Sabuj
Md Akbar Hossain
Year: 2020
Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh
SC
EAI
DOI: 10.4108/eai.18-8-2020.165995
Abstract
Greenhouse gases have influenced in enormous ways to global warming and climate change. The alarming rise of the toxic gases poses a serious threat to the future of mankind. Traditionally wireless sensor based monitoring systems have been used to monitor the concentration of greenhouse gases in the environment. It is not always possible to access the area of interest to deploy the sensor node or even do maintenancein case of failure. Therefore in this paper we proposed and implemented unmanned aerial vehicle (UAV) based greenhouse gases monitoring system which assembles humidity sensor, gas sensors and temperature sensors. The proposed UAV system equipped with sensors collect data from the atmosphere and predicting future humidity, temperature and gasses. In this paper, we collect these data from three different areas Uttara, Aftabnagar and Mirpur in Bangladesh. Our analysis shows that air quality is better in Aftabnagar, though itis variable depending on the different time of the day. For automatic collection of environmental sample, our proposed system mainly features high precision of aerial platform.
Copyright © 2020 M. A.-Farabi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.