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Effective use of water in irrigation system using machine learning

Author:

Yashika Mahajan, Mrunalini Pachpande, Ruchita Sonje, Swati Yelapure and Manisha Navale

Subject Area:

Physical Sciences and Engineering

Abstract:

In this work we present the prototype and proof of concept of automated water distribution system in irrigation. The system is capable of displaying greenhouse and irrigation scheduling parameters. Irrigation can wirelessly be automated by the sensor node by activating irrigation based on sensor values and predefined irrigation parameters. Our Irrigation system try to make the use of water efficiently. Use of IoT will help us to automate the system and Machine Learning will help system to decide amount of water needed depending upon various factors.

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