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@article{195578,
        author = {Telkar Vamshi and Jagimuggula Rahul and Ralladoddi Vijayrathnam and Pasula Chandramouli and Mr. H. Venkatesh},
        title = {INTELIGENT AND AUTOMATIC IRRIGATION SYSTEM BASED ON IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {469-476},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195578},
        abstract = {Efficient water utilization is essential for sustainable agriculture, especially in regions facing water scarcity. This paper presents the design and implementation of an Intelligent and Automatic Irrigation System based on the Internet of Things (IoT) using an Arduino Uno platform. The proposed system continuously monitors key soil and environmental parameters, including soil moisture, soil pH, temperature, and humidity, using a soil moisture sensor, pH sensor, and DHT11 sensor, respectively. The collected sensor data are processed by the Arduino Uno and transmitted to the IOT Webpage cloud platform for real-time monitoring, storage, and analysis. An automated decision-making mechanism is implemented to control a DC water pump based on predefined threshold values of soil moisture and ph. When the soil moisture level drops below the required threshold and the pH value remains within the optimal range for crop growth, the irrigation pump is activated automatically and deactivated once sufficient moisture is achieved. The proposed system reduces water wastage, minimizes human intervention, and enhances irrigation efficiency. Due to its low cost, scalability, and ease of deployment, the system is well suited for smart agriculture and precision farming applications.},
        keywords = {Internet of Things, Smart Irrigation, Arduino Uno, Soil Moisture Sensor, pH Sensor, IOT webpage, Precision Agriculture, DHT11, DC Water Pump.},
        month = {April},
        }