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@article{197857,
        author = {Dr.K.Nagaraju and Bhumika Tukaram Wanjari and Apeksha Hansraj Natkar and Gayatri Tatoba Mendhe and Raginee Praful Ganveer},
        title = {Smart Agriculture Solutions Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {8616-8619},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197857},
        abstract = {Selecting the appropriate crop is a critical decision for farmers that directly impacts yield and income. However, traditional methods often fail due to dynamic soil conditions, unpredictable weather, and fluctuating market prices. This paper proposes a web-based intelligent agricultural decision support system under the theme of Smart Agriculture Solutions Using AI. The system analyses key parameters including Nitrogen, Phosphorus, Potassium levels, temperature, humidity, pH, rainfall, moisture, soil type, and crop type to recommend the most suitable crop. It integrates a pre-trained Random Forest Classifier for accurate crop prediction, a Linear Regression model for forecasting the expected market price of the recommended crop after 30 days, and a GPT-2 transformer-based language model to generate simple, farmer-friendly natural language explanations. The user-friendly web interface developed using the Flask framework supports both English and Hindi languages for wider accessibility. Categorical inputs are handled through label encoding for seamless model compatibility. The proposed system also includes basic user authentication for secure access. By combining predictive analytics, economic forecasting, and explainable artificial intelligence, this solution aims to assist farmers in making data-driven decisions, reduce risk, enhance productivity, and improve economic returns in real-world farming scenarios},
        keywords = {Smart agriculture, Crop recommendation, Random Forest Classifier, Price prediction, Linear Regression, Explainable AI, Precision farming, Flask framework},
        month = {April},
        }