Air Pollution P rediction using IOT

  • et al.
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A model for Greenhouse farming Air Pollution Monitoring System for the concentrations of majorair pollutant gases has been developed. Air pollution in greenhouse farming is caused due to various elements in which the major constituent are fertilizers. This system uses IOT based Air Quality monitoring system and prediction framework. This device measures the concentration of harmfull gases like CO, LPG, Ammonia, Methane using gas sensors. The sensors will detect the environmental conditions of the farm and will send the data to Arduino. The device is connected to Cloud using Thing Speak via WiFi module. This system provides information about the air quality in the farm with the help of Android application which helps the farmers to maintain the air conditions in the farming land. The motivation of this project is to provide a cheaper monitoring systems which is beneficiary to all users

Cite

CITATION STYLE

APA

Rajakumari*, Dr. K. … Gavyarani, C. G. (2020). Air Pollution P rediction using IOT. International Journal of Recent Technology and Engineering (IJRTE), 9(1), 1127–1130. https://doi.org/10.35940/ijrte.f9869.059120

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free