Estimation of rice leaf angle distribution from geometric features in millimetric-resolution UAV RGB imagery acquired at 45° viewing angle

Leaf angle distribution (LAD) is a fundamental determinant of canopy light interception and photosynthetic efficiency, yet its robust quantification remains a major bottleneck. Traditional methods are constrained by either labor-intensive manual measurements or the ill-posed nature of indirect gap p