Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials. Field experiments, which may comprise thousands of plants, are planted according to experimental designs to evaluate varieties or management practices. For many types of phenotyping analysis, we examine smaller groups of plants known as "plots." In this paper, we propose a new plot extraction method that will segment a UAV image into plots. We will demonstrate that our method achieves higher plot extraction accuracy than existing approaches.
翻译:无人驾驶航空飞行器(无人驾驶飞行器)由于能够通过实地试验获得高分辨率数据,因此在玉米和高梁等田地作物的植物切片中使用变得很受欢迎。实地实验可能包括数千个植物,根据实验设计进行,以评价品种或管理做法。对于许多种类的外观分析,我们检查了被称为“草块”的小型植物群。在本文中,我们提出了一个新的绘图提取方法,将无人驾驶飞行器的图像分为块块。我们将证明我们的方法比现有方法更精确。