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@article{200536,
        author = {AKSHAY SANJEEV PAITHANE and Harshvardhan Dattatray Basude and Kartik Shivaji Neel and Tejas Dipak Jawade and Aditya Pradip Salvi and Prof I.F. Shaikh},
        title = {Soil Analysis and Health Evaluation System for Smart Agriculture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2674-2676},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200536},
        abstract = {This paper presents a smart agriculture system that integrates soil analysis with real-time monitoring to improve farming decisions. The system utilizes a dataset containing soil nutrients such as Nitrogen (N), Phosphorous (P), Potassium (K), and pH values to evaluate soil health and recommend suitable crops. In addition, real-time data from soil moisture and rain sensors is collected using an Arduino-based system and processed through a Flask server. The processed data is displayed on a web-based dashboard, which provides irrigation decisions and pest risk predictions. The proposed system aims to improve crop productivity, optimize water usage, and support sustainable farming practices.},
        keywords = {Smart Agriculture, Soil Analysis, Crop Recommendation, Arduino, IoT, Real-Time Monitoring},
        month = {May},
        }