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

Prediction Intervals01:03

Prediction Intervals

3.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.5K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.9K

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

[Kinase-Glo luminescent kinase assay for in vitro determination of PKA activity].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2012
Same author

Functional characterization of an arrestin gene on insecticide resistance of Culex pipiens pallens.

Parasites & vectors·2012
Same author

MiR-23a inhibits myogenic differentiation through down regulation of fast myosin heavy chain isoforms.

Experimental cell research·2012
Same author

Let-7b inhibits human cancer phenotype by targeting cytochrome P450 epoxygenase 2J2.

PloS one·2012
Same author

Role of IKK/NF-κB signaling in extinction of conditioned place aversion memory in rats.

PloS one·2012
Same author

Inhibition of poly(ADP-ribose) polymerase attenuates acute kidney injury in sodium taurocholate-induced acute pancreatitis in rats.

Pancreas·2012

相关实验视频

Updated: Mar 15, 2026

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

2.1K

一种基于多模式数据和集体学习模型的预测草生物质的方法.

Yuehua Zhang1,2, Zhaoming Wang2,3, Zhendong Tian2

  • 1College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Plants (Basel, Switzerland)
|March 14, 2026
PubMed
概括

这项研究引入了一种新的方法,用于预测草生物量,使用多谱和LiDAR数据结合合体学习. 这种方法显著提高了牧场管理和可持续畜牧生产的准确性.

关键词:
李达尔 (LiDAR) 是一种激光雷达.阿尔法萨法 (Alfalfa) 是一种植物.生物质预测预测生物质预测机器学习是机器学习.多光谱的 多光谱的

相关实验视频

Last Updated: Mar 15, 2026

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

2.1K

科学领域:

  • 农业科学 农业科学
  • 遥感 遥感 遥感 遥感
  • 数据科学数据科学数据科学

背景情况:

  • 传统的草生物质预测方法在复杂的现场条件下难以准确.
  • 准确的生物质估计对于有效的牧场管理和可持续的牲畜生产至关重要.

研究的目的:

  • 通过整合多谱和LiDAR数据与集体学习,开发一种高度准确的草生物量预测方法.
  • 在复杂的种植环境中克服传统方法的局限性.

主要方法:

  • 从基于无人机的多谱和空载LiDAR数据中提取了光谱和3D结构特征.
  • 使用随机森林,额外的树木和直方图梯度增强构建了一个整体模型.
  • 执行特征选择以创建高质量的建模数据集.

主要成果:

  • 整体模型实现了0.813的确定系数 (R2),其中RMSE为0.178公斤m-2和MAE为0.146公斤m-2.
  • 数据融合显著优于仅使用光谱指数 (R2 = 0.773) 或LiDAR特征 (R2 = 0.576) 的模型.
  • 最高的精度 (R2 = 0.917) 观察到从芽出现到早期开花阶段,尽管高生物质间隔显示低估.

结论:

  • 多模式数据融合和集体学习为高精度的草生物质预测提供了强大的方法.
  • 该方法为牧场资源监测和精准农业提供了可靠的技术支持.
  • 需要进一步精细化,以解决高生物质场景中的低估问题.