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@article{177692,
        author = {Shahad K and Gowreesh J K and Ragipindi Jasritha and Rajaputra Bhoomika and Dr. Panduranga Rao},
        title = {AN IOT-BASED SMART AGRICULTURE SYSTEM FOR REAL-TIME FIELD MONITORING AND CROP PREDICTION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2666-2674},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177692},
        abstract = {Agricultural areas in India are decreasing gradually, which influences the crop yields. The framework overcomes limitation of conventional farming methodology by using water resources productively and furthermore reducing labour costs. A comparative analysis was conducted between the proposed system and existing methods. Recently, recurrent incidents of food quality and security issues have jeopardized individuals' wellbeing and public health systems. The project predicts crops using the plantation based on the sensors and climate values which have been collected from four different sources. This data will be stored on a database server. A model processes this data predict the crops from the values generated. To predict the plantation, we are using a regression model for which trained on with the sensors and plantation data to optimize prediction accuracy for the prediction.},
        keywords = {Agriculture, IoT, Machine Learning, Regression Model, Smart Farming},
        month = {May},
        }