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Distribution law of rice pollen in the wind field of small UAV

机译:小型无人机风场中水稻花粉的分布规律

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The wind field produced by the rotor-wing UAV has a significant impact on the distribution of rice pollen, which directly influences hybrid rice breeding. This research aimed to explore the distribution law of rice pollen in the wind field of small UAV. Aviation Beidou Positioning System UB351 positions all sampling nodes for precise corresponding coordinates and spacing information, and draws UVA’s flying trajectories, thus providing accurate data for tests. Wireless sensor network measurement system was used to study the three-direction wind field produced by the rotor-wing UAV under various experimental factors and acquires wind field width and wind speed, and the data were compared with the area ratio and width of pollen distribution. Test of univariate normality was conducted through Shapiro-Wilk test and Kolmogorov-Smimov test. In order to figure out the appropriate flight speed for UAV’s pollination under pollen distribution law, it is also necessary to perform analysis of variances on regression model. The comparison of wind speed in longitudinal (X) and lateral (Y) direction show that as the major force of the horizontal wind field produced by the rotor-wing UAV, the wind from Y-direction forms the widest wind field. Moreover, flight speed mainly influences wind field width. To be specific, the width of horizontal wind field decreases as flight speed increases. Meanwhile, UAV flight speed also exerts significant impact on vertical wind field. Both the pollen distribution width of more than 5 pollen grains and the area ratio reached the maximum when the UAV flight was at 4.53 m/s, which was the most favorable speed to pollination. In addition, pollen quantity is closely associated with both horizontal and vertical wind field. With comparison of the pollen quantity of sampling nodes, it was found that the wind field produced by the rotor-wing UAV exerted asymmetrical impact on pollen distribution. Q-Q plot of SPSS verifies that pollen distribution is against normal distribution. The establishment of a multiple linear regression model of pollen distribution and wind speed in three directions indicates that pollen distribution quantity only shares positive linear relation with the wind field in X-direction. These findings provide a theoretical guidance for rice pollination by using agricultural UAVs. Keywords: UAV, pollen distribution, pollination, wind field distribution, rice breeding DOI: 10.25165/j.ijabe.20171004.3103 Citation: Li J Y, Lan Y B, Wang J W, Chen S D, Huang C, Liu Q, et al. Distribution law of rice pollen in the wind field of small UAV. Int J Agric & Biol Eng, 2017; 10(4): 32–40.
机译:旋翼无人机产生的风场对水稻花粉的分布有重要影响,直接影响杂交水稻的育种。本研究旨在探索小型无人机风场中水稻花粉的分布规律。航空北斗定位系统UB351定位所有采样节点,以获取精确的相应坐标和间距信息,并绘制UVA的飞行轨迹,从而为测试提供准确的数据。利用无线传感器网络测量系统研究了旋翼无人机在各种实验条件下产生的三向风场,获得了风场宽度和风速,并将数据与花粉分布的面积比和宽度进行了比较。单变量正态性检验通过Shapiro-Wilk检验和Kolmogorov-Smimov检验进行。为了根据花粉分配法找出适合无人机授粉的飞行速度,还需要对回归模型进行方差分析。纵向(X)和横向(Y)风速的比较表明,作为旋翼无人机产生的水平风场的主力,Y方向的风形成了最宽的风场。此外,飞行速度主要影响风场宽度。具体而言,水平风场的宽度随着飞行速度的增加而减小。同时,无人机的飞行速度也对垂直风场产生重大影响。当无人机飞行在4.53 m / s时,超过5个花粉粒的花粉分布宽度和面积比均达到最大,这是最有利于授粉的速度。另外,花粉量与水平和垂直风场都密切相关。通过比较采样节点的花粉数量,发现旋翼无人机产生的风场对花粉分布产生不对称影响。 SPSS的Q-Q图可验证花粉分布是否符合正态分布。花粉分布和风速在三个方向上的多元线性回归模型的建立表明,花粉分布量与X方向上的风场仅具有正线性关系。这些发现为使用农业无人机进行水稻授粉提供了理论指导。关键词:无人机,花粉分布,授粉,风场分布,水稻育种DOI:10.25165 / j.ijabe.20171004.3103引文:李建元,兰玉波,王建伟,陈南德,黄春,刘琦,等小型无人机风场中水稻花粉的分布规律国际农业与生物工程杂志,2017; 10(4):32-40。

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