Estimation of the crop density of small grains using LiDAR sensors
Estimation of the crop density of small grains using LiDAR sensors
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DOI：
10.1016/j.biosystemseng.2008.10.003
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发表时间：
2009-01-01
影响因子：
5.1
通讯作者：
De Baerdemaeker, J.
中科院分区：
文献类型：
--
作者：
Saeys, W.;Lenaerts, B.;De Baerdemaeker, J.
最近已经引入了自动进给速率控制系统，以通过根据进入秸秆提升机的生物质的量调节驱动速度来减轻联合收割机操作者的工作。然而，在机器前面的作物知识可以大大提高他们的性能。因此，使用两种类型的光探测和测距（LiDAR）传感器的可行性，和不同的在线数据处理方法，估计作物密度在联合收割机收割机前，已被调查。使用两种传感器类型中的任一种来测量激光穿透深度的变化，对于不同的驱动速度和机器振动，获得了良好的作物密度估计，确定系数（R（2））在0.80-0.96的范围内。高频激光扫描仪给出了非常好的结果的基础上的直方图峰值比和三维场重建。由于生物量是林分密度和作物蓄积量的函数，提出了一种估算作物蓄积量的新方法，即通过地面和穗位点，用薄板样条拟合计算地面剖面和作物剖面之间的蓄积量。这种方法被证明有潜力提高作物体积的估计。(c)2008年IAgRE。爱思唯尔有限公司保留所有权利。
Automatic feedrate control systems have recently been introduced to lighten the job of combine harvester operators by adjusting the driving speed according to the amount of biomass entering the straw elevator. However, knowledge of the crop in front of the machine could considerably improve their performance. Therefore, the feasibility of using two types of Light Detection And Ranging (LiDAR) sensor, and different methods of online data-processing for estimating crop density in front of a combine harvester, has been investigated. Using either of both sensor types to measure the variation in laser penetration depth, good crop density estimations were obtained for different driving speeds and machine vibrations with coefficients of determination (R(2)) in the range 0.80-0.96. The high-frequency laser scanner gave very good results based on the histogram peak ratio and on a 3-dimensional field reconstruction. Since the amount of incoming biomass is function of both crop stand density and crop volume, a new method for the estimation of crop volume has been proposed which calculates the volume between the ground profile and the crop profile using thin plate spline fitting through the ground level and ear level points. This method was shown to have potential to improve estimates of crop volume. (c) 2008 IAgrE. Elsevier Ltd. All rights reserved.