Winter wheat yield prediction using UAV imagery and machine learning: case studies in Sweden and Morocco
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
