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The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides

机译:使用无人机和无线传感器网络喷洒农药

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The application of pesticides and fertilizers in agricultural areas is of crucial importance for crop yields. The use of aircrafts is becoming increasingly common in carrying out this task mainly because of their speed and effectiveness in the spraying operation. However, some factors may reduce the yield, or even cause damage (e.g., crop areas not covered in the spraying process, overlapping spraying of crop areas, applying pesticides on the outer edge of the crop). Weather conditions, such as the intensity and direction of the wind while spraying, add further complexity to the problem of maintaining control. In this paper, we describe an architecture to address the problem of self-adjustment of the UAV routes when spraying chemicals in a crop field. We propose and evaluate an algorithm to adjust the UAV route to changes in wind intensity and direction. The algorithm to adapt the path runs in the UAV and its input is the feedback obtained from the wireless sensor network (WSN) deployed in the crop field. Moreover, we evaluate the impact of the number of communication messages between the UAV and the WSN. The results show that the use of the feedback information from the sensors to make adjustments to the routes could significantly reduce the waste of pesticides and fertilizers.
机译:在农业地区施用农药和化肥对作物的产量至关重要。飞机的使用在执行该任务中变得越来越普遍,这主要是由于它们在喷涂操作中的速度和有效性。但是,某些因素可能会降低产量,甚至造成损害(例如,喷洒过程中未覆盖的农作物区域,农作物区域的重复喷雾,在农作物的外边缘使用农药)。天气条件,例如喷洒时的风的强度和方向,使维持控制的问题更加复杂。在本文中,我们描述了一种体系结构,以解决在田间喷洒化学药品时无人机路线的自我调整问题。我们提出并评估一种算法,以调整无人机路线以适应风强度和风向的变化。适应路径的算法在无人机中运行,其输入是从部署在作物田地的无线传感器网络(WSN)获得的反馈。此外,我们评估了无人机和WSN之间通信消息数量的影响。结果表明,利用传感器的反馈信息来调整路线可以显着减少农药和肥料的浪费。

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