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@article{173428,
        author = {Rohan Fargade and Atharva Patil and Ayush Gunjal and Urmila Dalal and Punam Chavan},
        title = {Smart Irrigation Systems: Integrating IoT, Automation, and Machine Learning for Efficient Water Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4788-4796},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173428},
        abstract = {Smart irrigation systems leverage Internet of Things (IoT), automation, and machine learning technologies to provide precise water management, benefiting crop health, resource usage, and environmental sustainability. This paper surveys existing literature, summarizing advances in sensor-based irrigation, water level monitoring, predictive weather forecasting, and crop monitoring. Recent systems integrate features such as soil moisture monitoring, automatic control mechanisms, and data-driven crop management tools to optimize water distribution, minimize resource waste, and improve agricultural productivity. This paper aims to provide a comprehensive overview of current technologies, their implementations, and the future potential of smart irrigation in sustainable agriculture.},
        keywords = {IoT in Agriculture, Smart Irrigation, Sustainable Agriculture, Water Management},
        month = {April},
        }