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首页> 外文期刊>Emirates Journal of Food and Agriculture >Using unmanned aerial vehicle for identifying the vegetative vigor and quantify the area occupied by eucalyptus sprouts after chemical weeding in the state of Bahia, Brazil
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Using unmanned aerial vehicle for identifying the vegetative vigor and quantify the area occupied by eucalyptus sprouts after chemical weeding in the state of Bahia, Brazil

机译:使用无人机的空中车来识别营养活力,并在巴西巴伊亚州的化学除草后量化桉树芽占用的面积

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Currently, the efficiency of chemical weeding for controlling eucalyptus sprouts is measured by field sampling, but the inefficiency of the sampling methods has led to the investigation of new technologies, such as using unmanned aerial vehicle (UAV) to help to identify the vegetative vigor of eucalyptus after chemical weeding. This study, therefore, used aerial images obtained by a UAV embedded with a sensor to identify the vegetative vigor and quantify the area occupied by eucalyptus sprouts 90 days after the chemical weeding. The study was conducted in three fields planted with eucalyptus whose sprouts had been previously controlled by the chemical weeding with the Scout? herbicide in November 2016. The vegetative vigor of the eucalyptus sprouts was evaluated from the aerial images obtained by the UAV with embedded sensor, during flights conducted in November 2016 and February 2017, that were used to calculate the normalized difference vegetation index and later, a random sample grid was constructed for each image by supervised classification of the area (m2) to determine the percentage occupied by the sprouts. The used chemical control method neither eradicated the sprouts nor reduced the sprout occupied area. The normalized difference vegetation index and supervised classification tools allowed determining with high precision sprout health status and size, generating interpretable data on the different evaluated fields and periods. The processing of the images obtained by the UAV provided a viable alternative of management to evaluate sprout status in reforestation areas.
机译:目前,通过现场采样测量用于控制桉树豆芽的化学杂草的效率,但采样方法的低效率导致了对新技术的调查,例如使用无人机(UAV)帮助识别营养活力化学杂草后桉树。因此,这项研究使用了通过嵌入传感器的UAV获得的空中图像来识别营养活力,并在化学除草后90天定量桉树芽的面积。该研究是在种植的三个田地中进行,桉树术前以先前被侦察兵的化学杂草控制?在2016年11月的除草剂。从UAV与嵌入式传感器获得的航空图像中评估了桉树芽的植物活力,在2016年11月和2017年2月的航班期间,用于计算归一化差异植被指数及以后,a通过监督区域(M2)的分类来为每个图像构建随机样品网格,以确定豆芽占用的百分比。使用的化学控制方法既不消除豆芽也没有降低萌芽占用区域。归一化差异植被指数和监督分类工具允许确定高精度萌芽运行状况和大小,在不同的评估字段和周期上产生可解释的数据。通过UAV获得的图像的处理提供了管理的可行替代,以评估再造林区域中的萌芽状态。

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