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Mobile integrated smart irrigation management and monitoring system using IOT

Publication Type : Conference Paper

Publisher : IEEE

Source : 2017 International Conference on Communication and Signal Processing (ICCSP)

Url : https://doi.org/10.1109/iccsp.2017.8286792

Campus : Chennai

School : School of Computing

Department : Computer Science and Engineering

Year : 2017

Abstract :

Agriculture has been the most important practice from very beginning of the human civilization. Traditional methods that are used for irrigation, such as overhead sprinkler and flood type, is not that much efficient. They results in a lot of wastage of water and can also promote disease such as fungus formation due to over moisture in the soil. Automated irrigation system is essential for conservation of the water and indirectly viability of the farm since it is an important commodity. About 85% of total available water resources across the world are solely used for the irrigation purpose. In upcoming years this demand is likely to increase because of increasing population. To meet this demand we must adopt new techniques which will conserve need of water for irrigation process. In automation system water availability to crop is monitored through sensors and as per need watering is done through the controlled irrigation. The almost infinite capabilities of storage and processing, the rapid elasticity makes cloud computing an attractive solution to the large amount of data generated. The idea is to focus on parameters such as temperature and soil moisture. This is a Mobile Integrated and smart irrigation system using IOT based on application controlled monitoring system. The main objective of this project is to control the water supply and monitor the plants through a Smartphone. 

Cite this Research Publication : S. Vaishali, S. Suraj, G. Vignesh, S. Dhivya, S. Udhayakumar, Mobile integrated smart irrigation management and monitoring system using IOT, 2017 International Conference on Communication and Signal Processing (ICCSP), IEEE, 2017, https://doi.org/10.1109/iccsp.2017.8286792

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