首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >AN EFFICIENT WEED DETECTION PROCEDURE USING LOW-COST UAV IMAGERY SYSTEM FOR PRECISION AGRICULTURE APPLICATIONS
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AN EFFICIENT WEED DETECTION PROCEDURE USING LOW-COST UAV IMAGERY SYSTEM FOR PRECISION AGRICULTURE APPLICATIONS

机译:利用低成本无人机影像系统进行精准农业有效除草的程序

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The use of Unmanned Aerial Vehicle (UAV) imagery systems for Precision Agriculture (PA) applications drew a lot of attention through the last decade. UAV as a platform for an imagery sensor is providing a major advantage as it can provide high spatial resolution images compared to satellite platform. Moreover, it provides the user with the ability to collect the needed images at any time along with the ability to cover the agriculture fields faster than terrestrial platform. Therefore, such UAV imagery systems are capable to fit the gap between aerial and terrestrial Remote Sensing. One of the important PA applications that using UAV imagery system for it showed great potentials is weed management and more specifically the weed detection step. The current weed management procedure depends on spraying the whole agriculture field with chemical herbicides to execute any weed plants in the field. Although such procedure seems to be effective, it has huge effect on the surrounding environment due to the excessive use of the chemical, especially that weed plants don’t cover the whole field. Usually weed plants spread through only few spots of the field. Therefore, different efforts were introduced to develop weed detection techniques using UAV imagery systems. Though the different advantages of the UAV imagery systems, they systems didn’t draw the users interest due to many limitations including the cost of the system. Therefore, the proposed paper introduces a new weed detection methodology from RGB images acquired by low-cost UAV imagery system. The proposed methodology adopts detecting the high-density vegetation spots as indication for weed patches spots. The achieved results showed the potential of the proposed methodology to use low-cost UAV imagery system equipped with low-cost RGB imagery sensor for detecting weed patches in different cropped agriculture fields even from different flight height as 20, 40, 80, and 120 meters.
机译:在过去的十年中,无人飞行器(UAV)图像系统在精确农业(PA)应用中的使用引起了很多关注。无人飞行器作为图像传感器的平台提供了一个主要优势,因为与卫星平台相比,它可以提供高空间分辨率的图像。而且,它为用户提供了随时收集所需图像的能力,以及比地面平台更快地覆盖农业领域的能力。因此,这种无人机成像系统能够适应空中和地面遥感之间的差距。使用UAV影像系统显示出巨大潜力的重要PA应用之一是杂草管理,更具体地说是杂草检测步骤。当前的杂草管理程序取决于向整个农业领域喷洒化学除草剂以执行该领域中的任何杂草植物。尽管这种方法似乎是有效的,但由于过量使用化学药品,特别是杂草不能覆盖整个田地,因此对周围环境影响很大。通常,杂草仅在田间的少数地方传播。因此,为了使用UAV影像系统开发杂草检测技术,进行了各种努力。尽管无人机影像系统具有不同的优势,但由于包括系统成本在内的诸多限制,它们并未吸引用户的兴趣。因此,本文提出了一种从低成本无人机图像系统获取的RGB图像中检测杂草的新方法。所提出的方法采用检测高密度植被斑作为杂草斑的指示。取得的结果表明,所提出的方法具有使用配备低成本RGB图像传感器的低成本UAV图像系统的潜力,即使在不同的飞行高度20、40、80和120米处,也可以检测不同农作物田中的杂草斑块。

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