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@article{205385,
        author = {Mrs. Archana V R and Mr. Prajwala Gowda P Patil and Mr. Venkateshwara N},
        title = {Irrigation Station with Supervised Learning using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {6969-6974},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205385},
        abstract = {India is mainly an agricultural country. Irrigation is a vital component of agricultural production. Irrigation is a process of applying controlled amount of water to plants at regular interval. There are various technological improvements in irrigation including automated irrigation. Compared to manual irrigation, automated irrigation system can save water and maximize productivity. Automated irrigation system can be either closed/feedback control system or open/non-feedback control system. Feedback control systems monitor’s environmental parameters to control irrigation. Closed loop control system can be either plant/crop-based system or soil-based system. Agriculture and farming are the key components and they contribute to the maximum in the income of any country. Farmers cannot depend on the rainfall for the crop’s cultivation. So, watering and monitoring of the crops becomes a critical issue. Less watering or more watering to the plants can be a serious issue and it may lead to the less yield of the crop. Also, farmers cannot be at the irrigation land all the time. So, we are proposing a design for automatic monitoring of the crops so that the system automatically understands the need of water to the plants and acts respectively. We are also proposing to apply artificial intelligence to the irrigation system.  By this the plants will be continuously monitored for any changes in the quality of the crops which will be immediately notified to the farmer.},
        keywords = {Smart Irrigation System, Soil Moisture Sensor, Arduino Uno, Internet of Things (IoT), Machine Learning, Precision Agriculture, Automated Irrigation, Wireless Sensor Network, Crop Monitoring, Water Management.},
        month = {June},
        }