Modeling the impact of climate change on the country’s cropping systems in recent years has indicated a decreasing trend in wheat yield, and predictions of up to a 48% yield reduction in some regions by 2021 have been realized 19 .
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A novel hybrid NSGA-III and machine learning framework for modeling wheat yield variability using climatic, edaphic, and nutritional drivers.
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