Deflection analysis of rice stalk in three dimensions and its application to the improvement of the feeding performance in a combine harvester header

研究了一种利用激光扫描仪实时检测作物倒伏姿态的技术。在室内实验中，测量了小麦束在4个倒伏方向（左、右、前、后）和3个倒伏角度（40°、62°、80°）下的姿态曲线，并与数字图像进行对比。此外，利用倒伏剖面的三维坐标数据计算了倾斜、偏度和峰度，并评估了这些值作为倒伏特征表征的有效性。

A real time sensing technique for detecting lodging posture of crops was investigated using a laser scanner. In the laboratory experiment, posture profiles of a wheat bunch with four lodging directions (left, right, front, back) and three lodging angles (40°, 62°, 80°) were measured, and the profiles were assessed through comparisons with digital images. Also, inclination, skewness, and kurtosis were calculated using coordinate data of lodging profiles in three dimensions and the effectiveness of those values as indications representing lodging characteristics was assessed.