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@article{190411,
        author = {Prem Lohia and Anitej Mishra and Dr J. Godwin Ponsam},
        title = {AIML Based Agro Product Price Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5925-5933},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190411},
        abstract = {This paper presents an AI/ML-based agroproduct price prediction system leveraging the XGBoost algorithm to forecast crop prices using historical data. Designed for farmers and agricultural stakeholders, the system integrates anomaly detection, a GPT-3.5-powered chatbot, and a crop recommendation module. It features user and admin dashboards for price predictions, market insights, and interactive queries. Evaluated on diverse crop datasets, the system demonstrates robust performance, scalability, and potential for enhancements like weather integration and real-time analytics, fostering data-driven agriculture and economic resilience.},
        keywords = {XGBoost, Machine Learning, Agriculture, Price Prediction, OpenAI, Chatbot, Crop Recommendation, Time Series Forecasting, Anomaly Detection, Data Visualization},
        month = {January},
        }