Smart Water Management System Using Artificial Intelligence

Authors

  • Akshay A. Bhoyar  Assistant Professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Shivam Batra  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Tushar Bendre  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Pragati Dhok  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Trupti Meshram  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Urvashi Lade  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Soil Dampness Sensor, Arduino, Weather Forecast, Web Mining, Field Water System

Abstract

In the zone of development, the use of reasonable techniques for water framework is essential. The field water framework is a most precise task, where wealth or deficiency of water will realize yield hurt. Human controlled field water framework is hard for colossal segments of place that is known for land and besides inconvenient time water framework circumstances are perilous in nature because of animal agitating impacts. Computerization of water framework reliant on sogginess identifying executes a bit of the issue. This assignment thought intends to additionally mechanize the water framework method subject to a wise request of a web atmosphere figure with the objective that a wealth water stream to the field can be controlled. An Android Application goes about as a central checking unit of the proposed water framework system. The typical yield is to control the directing of the motor by considering the clamminess substance of the earth and precipitation gauge of the area. This water framework diminishes human effort and engages definite water stream the administrators to the field.

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International Journal of Scientific Research in Science and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Akshay A. Bhoyar, Shivam Batra, Tushar Bendre, Pragati Dhok, Trupti Meshram, Urvashi Lade, " Smart Water Management System Using Artificial Intelligence, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 2, pp.01-06, March-April-2020.