植物根系出口点搜索算法在有机农业杂草控制中的应用

F. Knoll, Tim Holtorf, Marvin Schmidt, S. Hussmann
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引用次数: 4

摘要

在机器视觉应用中,像光子混频器设备(PMD)这样的飞行时间(TOF)传感器成为常见3D传感设备的重要替代品。由于tof视觉系统的巨大进步,如今3D矩阵相机可以用于许多应用,如机器人,汽车,工业,医疗和多媒体应用。本文重点介绍了ToF相机在有机农业中的应用。本文提出了一种用于杂草控制的植物根系出口点搜索算法。必须知道杂草的根部出口点,以便适当地消除杂草。仿真和实验结果验证了该算法的有效性。
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Plant root exit point search algorithm for weed control applications in organic farming
In machine vision applications, Time-of-Flight (TOF) sensors like the Photonic Mixer Devices (PMD) became considerable alternatives to common 3D sensing devices. Because of the enormous progress in TOF-vision systems, nowadays 3D matrix cameras can be used for many applications such as robotic, automotive, industrial, medical and multimedia applications. This paper focuses on the use of ToF cameras for agricultural applications in organic farming. In this paper a plant root exit point search algorithm for weed control applications is proposed. The plant root exit point of weeds must be known to allow a proper elimination. The performance of the proposed algorithm is illustrated by simulation and experimental results.
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