The change in temperature, rainfall and CO2 concentrations do not act independently but interact with each other. The global climate is changing and agriculture have to adapt to ensure sustainability and survival. Climate disruptions to agricultural production have increased since past 40 years and are projected to increase over the next 25 years. Therefore, ensuring food security has become a paramount concern globally. Crop models are used to understand the impact of climate change on agriculture and to assist in the development of adaptation strategies. A well-tested, locally calibrated, and validated simulation models are useful tools for examining opportunities for increasing system productivity, assessing environmental trade-offs, assessing the effects of climate change and changes in soil fertility. The evaluation of a crop simulation model entails establishing trust in its ability to predict real-world outcomes. Agricultural system models are tools that provide a synthesis and quantification to evaluate the effects of water, soil, crops, management practices, and climate on the sustainability of agricultural production and to ensure food security. These models are a simplification of the reality, allow a first assessment of the complexity of climate change impact in agriculture. Crop-weather modelling involves the integration of weather data into models to simulate and predict the impact of weather conditions on crop growth, development, and yield. The integration of meteorological data, soil information, and crop-specific parameters, offer a comprehensive understanding of how different crops respond to various climatic scenarios.