Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Correlation between two methods of florbetapir PET quantitative analysis.

American journal of nuclear medicine and molecular imaging·2017
Same author

The Attenuation of 14-3-3ζ is Involved in the Caffeic Acid-Blocked Lipopolysaccharide-Stimulated Inflammatory Response in RAW264.7 Macrophages.

Inflammation·2017
Same author

Identifying Human SIRT1 Substrates by Integrating Heterogeneous Information from Various Sources.

Scientific reports·2017
Same author

EASApprox<sup>®</sup> skin-stretching system: A secure and effective method to achieve wound closure.

Experimental and therapeutic medicine·2017
Same author

Specific Combination of Salvianolic Acids As Core Active Ingredients of Danhong Injection for Treatment of Arterial Thrombosis and Its Derived Dry Gangrene.

Frontiers in pharmacology·2017
Same author

Self-assembly of silver(i)-based high-energy metal-organic frameworks (HE-MOFs) at ambient temperature and pressure: synthesis, structure and superior explosive performance.

Chemical communications (Cambridge, England)·2017

相关实验视频

Updated: Jul 21, 2025

Establishing Pollination Requirements in Japanese Plum by Phenological Monitoring, Hand Pollinations, Fluorescence Microscopy and Molecular Genotyping
07:03

Establishing Pollination Requirements in Japanese Plum by Phenological Monitoring, Hand Pollinations, Fluorescence Microscopy and Molecular Genotyping

Published on: November 9, 2020

3.1K

YOLO-plum:一个高精度和实时改进的算法用于梅子识别.

Yupeng Niu1,2, Ming Lu1,2, Xinyun Liang1,2

  • 1College of Information Engineering, Sichuan Agricultural University, Ya'an, China.

PloS one
|July 27, 2023
PubMed
概括

这项研究引入了一种改进的YOLOv5算法,用于实时准确识别未成熟的梅子. 这种进步提高了水果质量评估和农业实践的经济效益.

科学领域:

  • 农业科学 农业科学
  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 准确,实时评估水果生长对于最大限度地提高经济回报至关重要.
  • 梅子检测的挑战包括环境变化,遮蔽和重叠的水果/叶子,阻碍了传统的YOLOv5性能.

研究的目的:

  • 开发一个改进的深度学习算法,用于准确和快速批量检测未成熟的梅子.
  • 建立第一个专门用于生长状态分析的人工数据集.

主要方法:

  • 创建一个新的人工梅数据集.
  • 实施和增强用于目标检测的YOLOv5深度学习算法.
  • 算法改进以应对诸如阻塞和环境变化等挑战.

主要成果:

  • 开发的YOLOv5-plum算法实现了91.65%的未成熟梅的识别准确度.
  • 与主流算法相比,在检测未成熟的梅子方面表现出显著的优势.
  • 能够更准确,更快速地识别未成熟梅的批量.

结论:

  • YOLOv5-plum算法为未成熟梅的检测提供了强大的解决方案,改善了质量控制.

更多相关视频

Picometer-Precision Atomic Position Tracking through Electron Microscopy
15:04

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

7.4K
Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

12.5K

相关实验视频

Last Updated: Jul 21, 2025

Establishing Pollination Requirements in Japanese Plum by Phenological Monitoring, Hand Pollinations, Fluorescence Microscopy and Molecular Genotyping
07:03

Establishing Pollination Requirements in Japanese Plum by Phenological Monitoring, Hand Pollinations, Fluorescence Microscopy and Molecular Genotyping

Published on: November 9, 2020

3.1K
Picometer-Precision Atomic Position Tracking through Electron Microscopy
15:04

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

7.4K
Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
08:25

Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

Published on: January 25, 2014

12.5K
  • 这种方法显示出适用于其他未成熟水果检测任务的潜力.
  • 增强的深度学习模型对于克服农业计算机视觉方面的挑战至关重要.