Assessing the Impact of Climate Change on Agricultural Production Using Crop Simulation Model

Climate change can have significant impacts on agriculture, both in terms of crop production and livestock management. Rising temperatures, changing rainfall patterns, extreme weather events such as droughts floods reduce yields. GCMs been used to predict climate scenarios many cases using the downscaling approach. Crop simulation models are crucial gaining valuable insights into intricate interactions between crops their surroundings. To combat against change, researchers discovered that implementing microclimatic modifications conducting sensitivity analyses effective strategies. In short, these approaches help mitigate agricultural by simulating diverse predicting varying environmental conditions, temperature, rainfall, soil conditions. The resulting information enables assisting farmers making wise choices about best times plant, fertilize, irrigate, harvest, manage crops, especially context a climate. Moreover, account for factors quantify effect production, prioritize evaluate adaptation measures at farm level. As result, modeling has potential revolutionize leading it towards achieving goals sustainability.