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To address global food security challenges caused by population growth and climate change, accurate prediction of crop yield is essential for sustainable agriculture. Winter wheat, a key global crop, faces production instability in regions like Sweden and Morocco due to extreme weather conditions. This study employed unmanned aerial vehicle (UAV)-based multispectral imagery and digital surface mod
