CropNet Revolutionizes Crop Type Identification with Vehicle-View Images
In the ever-evolving world of agriculture, the ability to accurately interpret crop types from images can make a world of difference. A recent study led by Wenyue Li from the School of Computer Science at the China University of Geosciences in Wuhan
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