1. Recent advances in Unmanned Aerial Vehicle (UAVs) and image processing have made high‐throughput field phenotyping possible at plot/canopy level in the mass grown experiment. Such techniques are now expected to be used for individual level phenotyping in the single grown experiment.
2. We found two main challenges of phenotyping individual plants in the single grown experiment: plant segmentation from weedy backgrounds and the estimation of complex traits that are difficult to measure manually.
3. In this study, we proposed a methodological framework for field‐based individual plant phenotyping by UAV. Two contributions, which are weed elimination for individual plant segmentation, and complex traits (volume and outline) extraction, have been developed. The framework demonstrated its utility in the phenotyping of Helianthus tuberosus (Jerusalem artichoke), an herbaceous perennial plant species.
4. The proposed framework can be applied to either small and large scale phenotyping experiments.

中文翻译：

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无人机在野外对草本物种进行单株植物表型分析

1. 无人飞行器（UAV）和图像处理技术的最新进展已使大规模种植实验的地块/冠层水平上的高通量场表型成为可能。现在预期此类技术可用于单次生长实验中的个体水平表型分析。
2. 我们在单个生长实验中发现了对单个植物进行表型化的两个主要挑战：从杂草背景中进行植物分割以及难以手动测量的复杂性状的估计。
3. 在这项研究中，我们提出了一种基于无人机的田间个体植物表型分析的方法框架。已经开发了两种方法，分别是针对单个植物进行的除草和复杂性状（体积和轮廓）的提取。该框架证明的表型及其效用菊芋（菊芋），一个多年生草本植物物种。
4. 所提出的框架可以应用于小型和大型表型实验。