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Development of an Automatic System to Detect and Spray Herbicides in Corn Fields

机译:在玉米田中检测和喷洒除草剂的自动系统的开发

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Weed control is vital in agricultural production. Chemical control methods are generally preferred in weed control as they (1) affect quickly and (2) reduce the labour requirement. However, in conventional applications chemicals are generally applied to whole field surface. Therefore, non-targeted areas are also sprayed. This increases 1) amount of herbicide used and (2) risk of off-target chemical movement. In this study, a patch spraying system was developed to automatically detect and spray herbicides on weeds in the corn field based on weed density. In order to determine the weed regions, a digital camera was fitted in front of the tractor. The images taken using the camera were then simultaneously processed using an algorithm written in MatlabTM software. The results of the field study showed that at 4, 6 and 8 km h-1 forward speeds, application volumes decrease by 30.21%, 28.82% and 32.28%, respectively, when it is compared to the conventional application methods. It was also determined that the application accuracy rates were 80%, 81.66% and 75% respectively for 4, 6 and 8 km h-1 speeds.
机译:杂草控制对农业生产至关重要。化学对照方法通常优选在杂草控制中,因为它们(1)快速影响(2)减少劳动要求。然而,在常规应用中,化学品通常适用于整个场表面。因此,还喷洒非靶向区域。这增加了1)使用的除草剂和(2)偏离目标化学运动的风险。在这项研究中,开发了一种贴剂喷涂系统,以根据杂草密度自动检测和喷洒在玉米田中的杂草上的除草剂。为了确定杂草区域,将数码相机安装在拖拉机的前面。然后使用MatlabTM软件编写的算法同时处理使用相机拍摄的图像。现场研究的结果表明,在与常规施用方法相比,在4,6和8km H-1前进速度下,施用量分别降低30.21%,28.82%和32.28%。还确定应用精度分别为80%,81.66%和75%,分别为4,6和8km H-1速度。

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