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

Multiple Regression01:25

Multiple Regression

3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Weighted Mean00:57

Weighted Mean

5.2K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
5.2K
Regression Analysis01:11

Regression Analysis

5.7K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
5.7K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

1.6K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
1.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K

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

Immune cell phenotypes in the context of diabetic nephropathy: A Mendelian randomization analysis.

Medicine·2026
Same author

A primordial synaptotagmin-independent function of complexin in regulated exocytosis.

Nature communications·2026
Same author

A systematic review and meta-analysis of the efficacy of exercise therapy for the rehabilitation of rotator cuff-related shoulder pain: a subgroup analysis of racquet sport athletes.

Frontiers in bioengineering and biotechnology·2026
Same author

Development of a new dispersive liquid-liquid microextraction/UPLC method for determining bisphenols and estrogens in water based on Fe<sub>3</sub>O<sub>4</sub> nanoparticle-enhanced magnetic deep eutectic solvent.

Analytical and bioanalytical chemistry·2026
Same author

A pH-responsive hydrogel based on polysaccharides incorporated with honeysuckle-derived exosome-like nanovesicles for the management of infected wound.

International journal of biological macromolecules·2026
Same author

EVX2 methylation assay enables risk assessment of cervical cancer in high-risk HPV-infected individuals.

BMC cancer·2026

相关实验视频

Updated: Jul 9, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

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

Published on: February 9, 2024

1.4K

一种改进的方法来估计肉的重量,集成多功能与梯度增强决策树.

Ximing Li1,2, Jingyi Wu1,3, Zeyong Zhao1,3

  • 1College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China.

Animals : an open access journal from MDPI
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的计算机视觉框架,用于准确估计肉的体重,即使在复杂的环境中. 该系统显著提高了老鸟的准确性,解决了当前 brojiler养殖技术的局限性.

关键词:
brojler 肉 肉 是一个图像的深度图像的深度图像.梯度增强决策树的决定树.实例细分 实例细分 实例细分重量估计的重量估计.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

763

相关实验视频

Last Updated: Jul 9, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

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

Published on: February 9, 2024

1.4K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

763

科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 动物科学动物科学

背景情况:

  • 肉称重对于家禽业至关重要.
  • 目前的基于摄像头的重量估计方法与老鸟作斗争,导致错误增加.
  • 需要更准确,更强大的肉体重估计系统.

研究的目的:

  • 用深度图像开发一种用于准确估计肉体重的新框架.
  • 克服现有方法的局限性,这些方法专注于年轻的 brojlers.
  • 提高所有年龄段肉体重估计的准确性和稳定性.

主要方法:

  • 深度图像的实例细分使用Mask R-CNN.
  • 使用定制 Resnet50 (C-Resnet50) 和人工功能提取特征.
  • 使用特征融合模块的提取特征的融合.
  • 使用渐变增强决策树 (GBDT) 的重量估计.

主要成果:

  • 该框架有效地根据深度图像对个体肉进行细分,即使具有复杂的背景.
  • 特征融合和GBDT集成提高了估计的准确性和稳定性.
  • 在63天大的熊猫中,获得了0.093公斤的平均绝对误差 (MAE) 和0.707的R2.

结论:

  • 拟议的框架大大提高了肉体重估计的准确性,特别是在老鸟类.
  • 它提供了比传统称重方法更强大和经济可行的替代方案.
  • 这一进步有可能提高 brojiler养殖管理和效率.