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Design of a Remote-controlled and GPS-guided Autonomous Robot for Precision Farming

机译:精密养殖遥控和GPS引导自主机器人的设计

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摘要

Determining variations in fields is important for precision farming applications. Precision farming is used to determine, analyse, and manage factors such as temporal and spatial variability to obtain maximum profit, sustainability, and environmental protection. However, precision farming is excessively dependent on soil and plant test processes. Furthermore, test processes are time-consuming, laborious and expensive. These processes also cannot be performed quickly by humans. For these reasons, autonomous robots should be designed and developed for the detection of field variations and variable-rate applications. In this study, a remote-controlled and GPS-guided autonomous robot was designed and developed, which can be controlled via the 3G internet and is suitable for image-processing applications. The joystick is used to manually remotely control the robot movements in any direction or speed. Real-time video transmission to the remote computer can be accomplished with a camera placed on the vehicle. Navigation software was developed for steering the robot autonomously. In the results of the field test for the navigation software, it was found that the linear target point precision ranged from 10 to 12 cm and the distributed target point precision ranged from 15 to 17 cm.
机译:确定字段的变化对于精密农业应用是重要的。精密耕种用于确定,分析和管理因素,例如时间和空间可变性,以获得最大的利润,可持续性和环保。然而,精密耕种过度依赖于土壤和植物测试过程。此外,测试过程是耗时,费力且昂贵的。这些过程也不能通过人类快速地进行。出于这些原因,应设计和开发自治机器人以检测现场变化和可变速率应用。在这项研究中,设计和开发了一种遥控和GPS引导的自治机器人,可以通过3G互联网控制,适用于图像处理应用。操纵杆用于手动远程控制任何方向或速度的机器人运动。可以通过放置在车辆上的相机来实现到远程计算机的实时视频传输。导航软件是为自主转向机器人而开发的。在导航软件的现场测试的结果中,发现线性目标点精度为10到12cm,分布式目标点精度为15至17厘米。

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