most citedAGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 1 cited

AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints

Shaochun Li, Yanjun Wang, Hengfan Cai +2

Real-time and accurate information on fine-grained changes in crop cultivation is of great significance for crop growth monitoring, yield prediction and agricultural structure adju…