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@article{186819,
        author = {Naveen Kumar S and Nikhil B and Karthick S and Anitha R},
        title = {IoT and AI-Enabled Precision Farming System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2323-2329},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186819},
        abstract = {This study introduces an intelligent precision farming system powered by IoT and AI technologies to monitor soil health in real time and automate crop and nutrient management. The setup employs a 6-in-1 soil sensor connected to a Raspberry Pi 5 to measure essential parameters such as NPK content, pH, moisture, and temperature. The collected data is visualized through a Flask-based local web interface for ease of access. An integrated AI model (Gemini 2.5) evaluates the soil data and recommends optimal crops and fertilizer adjustments. The system can also generate PDF-based reports and send email notifications whenever nutrient values fall outside the recommended range. Experimental validation confirms that the proposed solution is cost-effective, scalable, and simple to operate, making it a practical approach for improving soil management and promoting sustainable precision agriculture.},
        keywords = {IoT, Soil Sensor, Raspberry Pi 5, AI, Crop Recommendation, NPK Analysis, Web-View App.},
        month = {November},
        }