Jove
Visualize
联系我们

相关概念视频

Light Acquisition02:16

Light Acquisition

8.4K
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.
8.4K

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

Ceftriaxone and MC-100093 mitigate fentanyl-induced cardiac injury in mice: Preclinical investigation of its underlying molecular mechanisms.

Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society·2026
Same author

Swin-SHARP: a novel approach to wheat disease classification using boosted MAML and weighted ensembling with deep learning classifiers.

Scientific reports·2026
Same author

Assessing Zn<sub>12</sub>O<sub>12</sub> nanocage for the elimination of ciprofloxacin from drinking water using DFT simulations.

Scientific reports·2026
Same author

Applicability of the Global Lung Initiative 2022 Reference Equations on a Sample of Healthy Adolescents in Jordan.

Children (Basel, Switzerland)·2026
Same author

A detailed DFT inspection on the trapping of aspirin from drinking water using B<sub>12</sub>N<sub>12</sub> nanocage.

Scientific reports·2026
Same author

Cytotoxic Effects of the Synthetic Cannabinoid, 5F-MDMB-PICA on Human Glioblastoma U87-MG Cells.

International journal of medical sciences·2026
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
查看所有相关文章
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: Jun 5, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

在使用深度学习的棉花叶图像中自动检测病变.

Frnaz Akbar1, Yassine Aribi2, Syed Muhammad Usman3

  • 1Department of Creative Technologies, Faculty of Computing and AI, Air University, Islamabad, Pakistan.

PeerJ. Computer science
|December 9, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的深度学习方法,用于自动检测棉花叶病. 该方法使用生成对抗网络 (GAN) 来增强数据,并使用一组模型来提高识别棉花植物疾病的准确性.

关键词:
在美国,CNN是CNN.检测棉花病的检测方法深度学习是一种深度学习.功能融合的特点是:精准农业 精准农业 精准农业

更多相关视频

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

468
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

1.3K

相关实验视频

Last Updated: Jun 5, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
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

468
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

1.3K

科学领域:

  • 农业科学 农业科学
  • 计算机科学 计算机科学
  • 植物病理学 植物病理学

背景情况:

  • 棉花叶病显著影响全球作物产量.
  • 准确有效地检测棉花病对农业经济至关重要.
  • 自动检测的挑战包括有限的数据集,类不平衡和各种损伤大小.

研究的目的:

  • 开发一种精确且可扩展的自动化方法来检测棉花叶病.
  • 解决自动疾病检测方面的挑战,包括阶级不平衡和有限的数据.
  • 提高识别各种棉花作物疾病的准确性和效率.

主要方法:

  • 利用一种新的深度学习方法,将数据增强与生成对抗网络 (GAN) 结合起来.
  • 采用基于集体的方法,整合了来自VGG16,Inception V3和ResNet50架构的特征向量.
  • 在一个包含七种疾病和一个健康类别的公共数据集上实施和评估了该方法.

主要成果:

  • 在检测棉花叶病时达到95%的最高准确度.
  • 获得了98%的F1得分,证明了高精度和回忆.
  • 拟议的方法在自动疾病识别方面优于现有的最先进技术.

结论:

  • 新的深度学习方法有效地解决了阶级不平衡,并提高了检测棉花叶病的准确性.
  • 组合方法结合了多个深度学习架构,为自动化作物疾病监测提供了强大的解决方案.
  • 这项研究在精密农业方面取得了重大进展,改善了棉花作物管理和产量保护.