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Updated: May 5, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
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YOLOv8-segANDcal:大豆根特征的细分,提取和计算

Yijie Wu1, Zhengjun Li1, Haoyu Jiang1

  • 1College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.

Frontiers in plant science
|July 26, 2024
PubMed
概括

这项研究引入了一种改进的YOLOv8-segANDcal模型,用于准确测量在发芽期间大豆胚胎根的生长. 这种自动化系统通过提供关于种子活力和根茎发育的快速,准确的数据来增强作物育种.

关键词:
这就是YOLOv8的意义.功能提取 特性提取图像分割 图像细分 图像细分根茎长度计算的计算方法大豆发芽的发芽过程

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