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Application of image analysis for grass tillering determination

机译:图像分析在分till确定中的应用

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摘要

Tillering is defined as the process of above-ground shoot production by a single plant. The number of grass tillers is one of the most important parameters in ecology and breeding studies. The number of tillers is usually determined by manually counting the separated shoots from a single plant. Unfortunately, this method is too time-consuming. In this study, a new method for counting grass tillers based on image analysis is presented. The usefulness of the method was evaluated for five grass species, Phleum pratense, Lolium perenne, Dactylis glomerata, Festuca pratensis and Bromus unioloides. The grass bunches were prepared for analysis by cutting and tip painting. The images obtained were analysed using an automatic procedure with separation of shoots and other objects based on morphological parameters. It was found that image analysis allows for very quick and accurate counting of grass tillers. However, the set of morphological parameters for object recognition must be selected individually for different grass species. This method can be recommended as a replacement for the traditional, time-consuming method in grass breeding.
机译:分iller法是指由单个植物生产地上芽的过程。草till的数量是生态学和育种研究中最重要的参数之一。分of的数量通常是通过手动计算从单株植物中分离出的枝条来确定的。不幸的是,这种方法太耗时。在这项研究中,提出了一种新的基于图像分析的分till计数方法。评价了该方法对五种草(Pleum pratense),黑麦草(Lolium perenne),Dactylis glomerata,Festuca pratensis和Bromus unioloides的有效性。准备草丛以通过切割和尖端绘画进行分析。使用自动程序分析获得的图像,并根据形态参数将枝条和其他物体分离。已经发现,图像分析允许非常快速和准确地计数草ers。但是,必须针对不同的草种分别选择用于对象识别的一组形态学参数。可以推荐使用此方法来代替传统的繁琐的草场育种方法。

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