Air Pollution Prediction using IOT
K.Rajakumari1, K. Dinesh2, M.Deepan3,V.A Kiran karthi4, C.G Gavyarani5
1Dr.K.Rajakumari*, Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
2K.Dinesh, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
3M.Deepan, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
4V.A.Kiran karthi, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
5C.G.Gavyarani, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1127-1130 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9869038620/2020©BEIESP | DOI: 10.35940/ijrte.F9869.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Android Application, Greenhouse, IoT, Pollution.
Scope of the Article: IoT