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@article{162209,
        author = {Saranya S S and Dr.L.Nisha Evangelin},
        title = {GreenGuard: An Economic and Intelligent IoT Solution for Sustainable Farming and Water Conservation},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {8},
        pages = {341-346},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162209},
        abstract = {The GreenGuard system, a pioneering IoT-based Intelligent Irrigation System, emerges as a transformative solution for contemporary agriculture, effectively addressing critical challenges in water conservation, crop yield enhancement, and energy efficiency. Through real-time monitoring of soil moisture levels, the system dynamically adjusts irrigation, minimizing water usage and promoting sustainability and cost-effectiveness. Precision control over irrigation ensures optimal crop conditions, fostering healthier plants and bolstering agricultural productivity. Intelligent decision-making algorithms optimize energy efficiency by selectively activating the irrigation pump based on demand-driven data analysis. Comparative analysis with traditional methods underscores the system's superiority, leveraging data-driven decisions, real-time monitoring, and remote control via the Blynk application. Identified challenges, such as connectivity issues and initial setup complexity, present opportunities for refinement, emphasizing continuous improvement. The project signifies a substantial stride towards resource-efficient agriculture, providing farmers with an invaluable tool for sustainable and precision farming, thus contributing significantly to global food security and environmentally responsible farming practices},
        keywords = {IoT-based Irrigation,Sustainable Farming, Water Conservation,Precision Agriculture, Intelligent Decision-Making Algorithms},
        month = {},
        }