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:通过图像分析提取植物器官特征

Haibao Tang¹, Wenqian Kong², Pheonah Nabukalu³

¹Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology and College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China. tanghaibao@gmail.com.

|September 12, 2024

概括

GRABSEEDS是一个新的工具,它使用计算机视觉和深度学习来自动化从数字图像中生成植物表型. 这加快了诸如定量特征位置 (QTL) 映射和全基因组关联研究 (GWAS) 等遗传研究的速度.

科学领域:

植物科学植物科学
计算机视觉计算机视觉计算机视觉
遗传学遗传学是一种遗传学.

背景情况:

植物表型是定量特征位置 (QTL) 地图和全基因组关联研究 (GWAS) 的一个主要挑战.
数字图像分析为快速,可靠和可复制的植物特征测量提供了潜在的解决方案.

研究的目的:

推出GRABSEEDS,这是一个用于使用先进计算机视觉和深度学习进行自动化植物表型的新工具.
从数字图像中高效准确地提取各种植物器官特征.

主要方法:

GRABSEEDS使用最先进的计算机视觉和深度学习算法.
该工具是一个命令行启用的应用程序,旨在处理具有挑战性的成像条件.
功能包括标签识别和批处理的颜色校正.

主要成果:

GRABSEEDS通过数字图像准确有效地测量植物器官特征.
该工具在管理可变的照明,背景噪音和重叠对象方面表现出强大.
集成了高级功能,如标签识别和颜色校正.

结论:

GRABSEEDS简化和加快了植物表型化工作流程.
该工具有效地分析了与农业性能和应激反应相关的种子,花和叶子特征.
源代码和文档是公共可用的GRABSEEDS.

关键词:

高吞吐率的高吞吐量.图像分析图像分析现象型现象型是一种表现型.在 QTL 映射中使用 QTL 地图.种子的特征种子的特征

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相关概念视频

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.