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
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
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