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@article{172690,
        author = {Mukta Nainwal and Anurag Satpati and A.S.Nain},
        title = {Calibration and Validation of CERES-Maize model for spring maize under tarai region of Uttarakhand},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {573-583},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172690},
        abstract = {Calibration in modeling is the process of adjusting the parameters of a model to improve its accuracy in predicting or simulating real-world data. After calibration validation was performed to check the accuracy of the data. Validation in modeling refers to the process of evaluating a model's performance to ensure that it accurately predicts. The purpose of validation is to check the model's accuracy. CERES-Maize model used for the present investigation. It is a crop simulation model that is part of the Decision Support System for Agrotechnology Transfer (DSSAT) suite of models. This model is specifically designed to stimulate growth, development and yield of rice crops under varying environmental conditions and management practices. Three-year data used for calibration and two-year data used for validation purpose. CERES-Maize model was able to validate and calibrate spring maize crop with good accuracy percent.},
        keywords = {calibration, validation, CERES (Crop Environment Resource Synthesis), Decision Support System for Agrotechnology Transfer (DSSAT), model},
        month = {February},
        }