基于推土机距离的根系分布空间与纹理分析（STARSEED）
Spatial and Texture Analysis of Root System distribution with Earth mover's Distance (STARSEED).
作者信息
Peeples Joshua, Xu Weihuang, Gloaguen Romain, Rowland Diane, Zare Alina, Brym Zachary
机构信息
Department of Electrical and Computer Engineering, Texas A&M University, College Station, 77845, USA.
Department of Electrical and Computer Engineering, University of Florida, Gainesville, 32611, USA.
出版信息
Plant Methods. 2023 Jan 5;19(1):2. doi: 10.1186/s13007-022-00974-z.
PURPOSE
Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery.
METHODS
We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover's Distance (STARSEED), for comparing root system distributions that incorporates spatial information through a novel application of the Earth Mover's Distance (EMD).
RESULTS
We illustrate that the approach captures the response of sesame root systems for different genotypes and soil moisture levels. STARSEED provides quantitative and visual insights into changes that occur in root architectures across experimental treatments.
CONCLUSION
STARSEED can be generalized to other plants and provides insight into root system architecture development and response to varying growth conditions not captured by existing root architecture metrics and models. The code and data for our experiments are publicly available: https://github.com/GatorSense/STARSEED .
目的
根系结构复杂，要有效地对其进行表征以用于农艺学和生态学发现具有挑战性。
方法
我们提出了一种新方法，即利用推土机距离进行根系分布的空间和纹理分析（STARSEED），用于通过推土机距离（EMD）的新颖应用来比较包含空间信息的根系分布。
结果
我们表明该方法能够捕捉芝麻不同基因型和土壤湿度水平下根系的响应。STARSEED为跨实验处理的根系结构变化提供了定量和可视化的见解。
结论
STARSEED可以推广到其他植物，并能深入了解根系结构的发育以及对现有根系结构指标和模型未涵盖的不同生长条件的响应。我们实验的代码和数据可公开获取：https://github.com/GatorSense/STARSEED 。
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