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LenRuler:一种以大米为中心的方法,用于自动测量根茎长度,并进行多种作物验证

Jinfeng Zhao¹, Zeyu Hou², Hua Hua¹

¹Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China.

Plant phenomics (Washington, D.C.)

|December 19, 2025

概括

LenRuler提供自动根长度测量,以改善种子活力评估. 这种方法精确地细分大米种子,并对多种作物进行验证,增强了发芽潜力分析.

科学领域:

农业科学农业科学
计算机视觉计算机视觉
生物技术是生物技术.

背景情况:

根的长度对于预测种子活力,发芽和幼苗生长至关重要.
目前的测量技术缺乏自动化,效率和广泛适用于各种种类的种子.

研究的目的:

开发一种自动化,准确和可通用的方法来测量根的长度.
解决手动和低效的现有测量方法的局限性.

主要方法:

利用分段任何模型 (SAM) 采用粗细分段策略和基于高斯的分类.
自动界限盒和中心体生成用于精确的种子外层和根茎细分.
使用骨架化种子外层和根茎之间的地理距离计算根茎长度.

主要成果:

在大米种子上实现了高细分性能 (点数:0.955,像素精度:0.944).
在米根长度测量中证明了高精度 (MAE:0.273毫米,R2:0.982).
在玉米,珍珠小米和麦中验证的跨物种性能.

结论:

LenRuler为米根长度测量提供了一个准确和自动化的解决方案.
该方法显示了在其他作物物种中应用的巨大潜力.
自动化根长度分析支持增强种子质量评估和作物改进.

关键词:

自动化测量自动化测量图像细分图像细分图像细分多种作物验证验证根根的长度根根的长度大米大米大米大米大米

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