Calibration, Validation and Sensitivity analysis of CROPGRO Model

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Crop simulation models are essential tools in agriculture that integrate climate, soil, crop, and management data to predict crop growth, development, and yield under various conditions. These models, such as DSSAT, APSIM, AquaCrop, and EPIC, help optimize crop management practices, select suitable genotypes, assess the impacts of climate change, and manage resources efficiently. By simulating different scenarios, they enable farmers and researchers to make informed decisions, reduce risks, and enhance resilience. Despite challenges like data quality and model complexity, advances in technology and data integration continue to improve their accuracy and usability, making them increasingly vital for sustainable and resilient agricultural practices.