ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    IOT AND MACHINE LEARNING ENABLED SMART IRRIGATION FOR EFFICIENT WATER MANAGEMENT

    SATHULURI RAMARAO

    Author

    ID: 1986

    DOI:

    Abstract :

    The Agricultural Sector Is Undergoing A Transformation With The Integration Of Smart Technologies To Optimize Irrigation Practices. This Project Introduces A Smart Irrigation System That Utilizes Arduino-based Sensors To Collect Crucial Environmental Data Such As Temperature, Humidity, Soil Moisture, And Rain Values. The Collected Data Is Transmitted To An IoT Cloud, Enabling Real-time Monitoring Through A User Mobile Application. Simultaneously, A Laptop With A Machine Learning Algorithm Predicts The Water Requirement For The Field And Issues ON/OFF Commands To Control The Irrigation Pump. This Integrated System Enhances Water Use Efficiency, Reduces Wastage, And Contributes To Sustainable Agricultural Practices.

    Published:

    19-12-2024

    Issue:

    Vol. 24 No. 12 (2024)


    Page Nos:

    261-273


    Section:

    Articles

    License:

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

    How to Cite

    SATHULURI RAMARAO , IOT AND MACHINE LEARNING ENABLED SMART IRRIGATION FOR EFFICIENT WATER MANAGEMENT , 2024, International Journal of Engineering Sciences and Advanced Technology, 24(12), Page 261-273, ISSN No: 2250-3676.

    DOI: