TY - GEN
T1 - Using Plant as the Natural Air Purifier and Monitoring Indoor Air Quality Index Using Random Forest
AU - Pandey, Garvitraj
AU - Goel, Priyansh
AU - Bhasin, Dishita
AU - Prasad, Kantipudi M.V.V.
AU - Thakur, Prabhat
AU - Shah, Pritesh
AU - Gonge, Sudhanshu
AU - Joshi, Rahul
AU - Kotecha, Ketan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Air is an important natural resource which is available on the earth. It consists of various elements, viz. (i) carbon dioxide, (ii) oxygen, (iii) nitrogen, etc. Every element in the air is important if and only if it is in proper proportion. It is observed that due to deforestation, urbanization and industrialization have affected the air quality proportion. This has created a problem for the ozone layer and decreases the pure oxygen quality and quantity from the air, further resulting in a variety of respiratory and cardiovascular diseases producing severe health issues. The COVID-19 lockdown impacted millions of people around the globe. The time spent by people at home reached 100% and lasted for months. The data itself show that air quality inside the houses was found to be degraded as the rooms became workspace, gyms, entertainment, etc. To resolve this issue, there is a necessity for air monitoring devices or products for the offices and household uses. Although there are a lot of solutions available in the market, it is not feasible for every individual to afford. Plants in our surroundings play an important role in maintaining the quality of air around us. In short, lots of plants can be used as the natural air purifier for the homes, office workspace, etc. Such aspects of the problem are solved with the help of IOT along with integrating it with the mobile application for collecting the oxygen level data and predicting the plant as per the Air Quality Index obtained from the sensors. Based on the data, the machine learning technique using multiple classification is implemented which predicts the plant as per the air quality in the surrounding. Further, it helps to predict the accurate oxygen level for inhalation and the exhalation of the individual. The app provides the information related to AQ Index and suggests the adequate steps needed to be taken for improving oxygen quality level. The study further shows the effectiveness of the natural air purifiers for the home and offices that are environmentally friendly and cost effective.
AB - Air is an important natural resource which is available on the earth. It consists of various elements, viz. (i) carbon dioxide, (ii) oxygen, (iii) nitrogen, etc. Every element in the air is important if and only if it is in proper proportion. It is observed that due to deforestation, urbanization and industrialization have affected the air quality proportion. This has created a problem for the ozone layer and decreases the pure oxygen quality and quantity from the air, further resulting in a variety of respiratory and cardiovascular diseases producing severe health issues. The COVID-19 lockdown impacted millions of people around the globe. The time spent by people at home reached 100% and lasted for months. The data itself show that air quality inside the houses was found to be degraded as the rooms became workspace, gyms, entertainment, etc. To resolve this issue, there is a necessity for air monitoring devices or products for the offices and household uses. Although there are a lot of solutions available in the market, it is not feasible for every individual to afford. Plants in our surroundings play an important role in maintaining the quality of air around us. In short, lots of plants can be used as the natural air purifier for the homes, office workspace, etc. Such aspects of the problem are solved with the help of IOT along with integrating it with the mobile application for collecting the oxygen level data and predicting the plant as per the Air Quality Index obtained from the sensors. Based on the data, the machine learning technique using multiple classification is implemented which predicts the plant as per the air quality in the surrounding. Further, it helps to predict the accurate oxygen level for inhalation and the exhalation of the individual. The app provides the information related to AQ Index and suggests the adequate steps needed to be taken for improving oxygen quality level. The study further shows the effectiveness of the natural air purifiers for the home and offices that are environmentally friendly and cost effective.
KW - Air monitoring system
KW - Air pollution
KW - IoT-based monitoring system
KW - Natural air purifier
UR - http://www.scopus.com/inward/record.url?scp=85208911576&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-4228-8_31
DO - 10.1007/978-981-97-4228-8_31
M3 - Conference contribution
AN - SCOPUS:85208911576
SN - 9789819742271
T3 - Lecture Notes in Networks and Systems
SP - 459
EP - 473
BT - Innovative Computing and Communications - Proceedings of ICICC 2024
A2 - Hassanien, Aboul Ella
A2 - Anand, Sameer
A2 - Jaiswal, Ajay
A2 - Kumar, Prabhat
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Innovative Computing and Communication, ICICC 2024
Y2 - 16 February 2024 through 17 February 2024
ER -