A SCAG algorithm for accurate branch detection and angle calculation in soybeans using liDAR data

A research team has developed the SCAG algorithm for accurate branch detection and angle calculation in soybean plants using LiDAR data. SCAG achieved high accuracy in branch detection (F-score=0.77) and angle calculation (r=0.84), outperforming traditional methods.