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Crop simulation models are computational tools designed to simulate the growth, development, and yield of crops under varying environmental and management conditions. They integrate information about climate, soil properties, crop physiology, and management practices to predict crop performance. One of the key features of these models is their ability to represent the dynamic interactions between plants and their environment, including temperature, rainfall, solar radiation, nutrient availability, and water stress. They often incorporate algorithms ___ _____ ____ _________ _________ ______ __________ ____ _________.
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