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With limited land resources and a growing population, agricultural output is under considerable strain. New technology is necessary for overcoming these issues and advising farmers, legislators and other decision-makers on adopting sustainable agriculture despite global climate variations. This has led to the crop simulation models that illustrate crop growth and development processes as a function of climate, soil and crop management. They also support agricultural agronomy (yield estimate, biomass, etc.), pest control, breeding and natural resource management. This study examines crop modelling for agricultural production planning and field-level management strategies. These can help researchers comprehend the significance of crop modelling for scenario-building and provide field-level suggestions by analysing future conditions and strategic activities to minimize the predicted negative influence and maximize the projected positive effect. The limitations and potential directions of crop modelling improvement have also been highlighted in this study

Keywords

Climate change, crop models, management strategies, sustainable agriculture, yield estimation.
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