Distance-based control system for machine vision-based selective spraying
Distance-based control system for machine vision-based selective spraying
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DOI：
10.13031/2013.11053
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发表时间：
2002-09-01
期刊：
影响因子：
--
通讯作者：
Tang, L
中科院分区：
文献类型：
--
作者：
Steward, BL;Tian, LF;Tang, L
为了有效地操作具有实时局部杂草感测的选择性喷雾器，必须将除草剂准确地递送到田间的杂草目标。对于基于机器视觉的选择性喷涂系统，获取连续图像并在正确位置打开和关闭喷嘴至关重要。基于MS Windows的成像系统与实时嵌入式选择性喷洒控制器系统接口，以完成基于行程的控制任务。开发了基于机器视觉的传感系统和选择性除草剂控制系统，并安装在喷雾机上。控制器设计采用有限状态机（FSM）模型，并制定了通用设计规范，以确定状态之间的行程距离。利用人工靶标对系统的空间应用精度进行了实地测量。该系统的整体命中精度为91%，没有统计证据的命中精度或平均图案长度依赖于车速的显着差异，图案长度方差和平均图案宽度检测速度水平范围从3.2至14公里/小时。在较高的行进速度下，喷雾图案倾向于相对于目标偏移。
For effective operation of a selective sprayer with real-time local weed sensing, herbicides must be delivered, accurately to weed targets in the field. With a machine vision-based selective spraying system, acquiring sequential images and switching nozzles on and off at the correct locations are critical. An MS Windows-based imaging system was interfaced with a real-time embedded selective spray controller system to accomplish control tasks based on distance traveled A machine vision-based sensing system and selective herbicide control system was developed and installed on a sprayer A finite state machine (FSM) model was employed for controller design, and general design specifications were developed for determining the travel distance between states. The spatial application accuracy of the system was measured in the field using artificial targets. The system operated with an overall hit accuracy of 91% with no statistical evidence of hit accuracy or-mean pattern length being dependent on vehicle speed Significant differences in pattern length variance and mean pattern width were detected across speed levels ranging from 3.2 to 14 km/h. Spray patterns tended to shift relative to the target at higher travel speeds.