Jove
Visualize
联系我们

相关概念视频

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

7.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
7.1K
Light Acquisition02:16

Light Acquisition

8.6K
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.
8.6K

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

[Analysis of effective substances in Shuangshen Fuzheng San and its mechanism study on human lung adenocarcinoma A549 cells].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2026
Same author

Multi-organ imaging and genetics show the impact of sleep patterns on the human brain and body.

Communications medicine·2026
Same author

Recurrent Plaque Healing Precipitates an Exercise Test-Induced Acute Coronary Syndrome in a Young Diabetic Patient.

The Canadian journal of cardiology·2026
Same author

A kernel space-based multidimensional sparse model for dynamic PET image denoising.

Physics in medicine and biology·2026
Same author

Cross-sport patterns of health-related conditions in Chinese young athletes based on a comprehensive motor function assessment.

Frontiers in public health·2026
Same author

Mapping the immune microenvironment of non-small cell lung cancer.

Critical reviews in oncology/hematology·2026
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

相关实验视频

Updated: Sep 11, 2025

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.8K

知识蒸与几何一致的特征对齐,用于强大的低光果检测.

Yuanping Shi1,2,3, Yanheng Ma1, Liang Geng2,3

  • 1Department of UAV Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的框架,知识蒸与几何一致的特征对齐 (KDFA),以改善低光果检测. 在具有挑战性的果园条件下,KDFA提高了图像质量和检测精度.

关键词:
功能对齐对齐功能对齐知识的蒸知识的蒸.在低光下检测果.

更多相关视频

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

700
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

635

相关实验视频

Last Updated: Sep 11, 2025

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.8K
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

700
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

635

科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 农业技术 农业技术

背景情况:

  • 由于噪音和不均的暴露,低光条件显著降低了果园中的果检测准确度.
  • 对于精确定位至关重要的边缘线索是模糊的,阻碍了自动收获和监控系统.

研究的目的:

  • 开发一个紧的,端到端的框架,在低光条件下进行强大的果检测.
  • 为了弥合照明领域的差距,同时保留关键的几何信息以改善本地化.

主要方法:

  • 提出了知识蒸与几何一致的特征对齐 (KDFA),整合图像增强和检测.
  • 采用跨领域的相互信息绑定知识蒸来调整日光和低光图像之间的特征.
  • 使用几何一致的特征对齐与拉普拉斯平滑性和跨特征格子的双部分图对应.

主要成果:

  • 在具有挑战性的低光果检测基准测试中实现了51.3%的平均精度 (mAP).
  • 设置一个新的最先进的性能,在低光场景中超过现有方法.
  • 证明有效地弥合了照明领域的差距,并保持了几何一致性.

结论:

  • 在低光园林环境中,KDFA框架显著提高了果检测性能.
  • 拟议的方法为精密农业应用提供了强大的解决方案,需要在不利的照明下准确地定位对象.
  • 未来的工作可以探索适应其他农业物体检测任务和不同的照明条件的适应性.