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相关概念视频

Introduction to Seed Plants03:40

Introduction to Seed Plants

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Most plants are seed plants—characterized by seeds, pollen, and reduced gametophytes. Seed plants include gymnosperms and angiosperms.
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相关实验视频

Updated: Jun 29, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

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一个用于识别细粒种子的数据集.

Min Yuan1, Ningning Lv2, Yongkang Dong2

  • 1School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, 730000, China. yuanm@lzu.edu.cn.

Scientific data
|April 6, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了LZUPSD数据集,包含88种种子类型的4496张图像. 这一农业数据集支持人工智能和计算机视觉,用于现代化农业和林业.

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Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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科学领域:

  • 农业科学 农业科学
  • 计算机视觉 计算机视觉
  • 数据科学数据科学数据科学

背景情况:

  • 种子识别对于农业和林业研究至关重要.
  • 人工智能 (AI) 和计算机视觉为农业带来了进步.
  • 对于计算机视觉应用的农业数据集存在重大差距.

研究的目的:

  • 为人工智能驱动的农业研究建立一个全面的种子数据集.
  • 促进用于种子识别的计算机视觉模型的开发.
  • 通过数据资源支持农业和林业的现代化.

主要方法:

  • 一个基于手机的设备和宏镜头被用于图像采集.
  • 创建了一个名为LZUPSD的新数据集.
  • 数据集包括4496张图像,涵盖88种不同的种子品种.

主要成果:

  • 成功建立了LZUPSD数据集,包含各种种子图像集合.
  • 该数据集提供了88种不同种类的4496张图像.
  • 本资源适用于培训深度学习模型和农业研究.

结论:

  • LZUPSD数据集是促进农业计算机视觉的宝贵资源.
  • 它解决了在人工智能驱动的农业研究中对专门数据集的需求.
  • 该数据集将通过增强种子识别来帮助现代化农业和林业实践.