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

Fruit Development, Structure, and Function01:58

Fruit Development, Structure, and Function

22.1K
Fruits form from a mature flower ovary. As seeds develop from the ovules contained within, the ovary wall undergoes a series of complex changes to form fruit. In some fruits, such as soybeans, the ovary wall dries; in other fruits, such as grapes, it remains fleshy. In some cases, organs other than the ovary contribute to fruit formation; such fruits are called accessory fruits.
22.1K
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

A haplotype-resolved, chromosome-scale genome assembly and annotation for Carya glabra (pignut hickory; Juglandaceae).

G3 (Bethesda, Md.)·2026
Same author

Chromosome level assembly and annotation of Cuscuta campestris Yunck. ("field dodder"), a model parasitic plant.

G3 (Bethesda, Md.)·2025
Same author

Erratum for Zhang et al., "Evaluating the stability of nursery-established arbuscular mycorrhizal fungal associations in apple rootstocks".

Applied and environmental microbiology·2025
Same author

Guidelines for gene and genome assembly nomenclature.

Genetics·2025
Same author

Transcriptomics of long-term, low oxygen storage coupled with ethylene signaling interference suggests neofunctionalization of hypoxia response pathways in apple (<i>Malus domestica</i>).

Plant direct·2024
Same author

Genome-Wide Identification and Expression Analysis of <i>FD</i> Gene Family in Bamboos.

International journal of molecular sciences·2024

相关实验视频

Updated: Jun 11, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.0K

通过使用深度学习和图像处理来评估果的质量特征.

Nhan H Nguyen1, Joseph Michaud2, Rene Mogollon1,3

  • 1Department of Horticulture Washington State University Pullman WA USA.

Plant direct
|October 10, 2024
PubMed
概括

开源工具Granny使用机器学习和图像处理来客观地评估果的质量,减少评级者偏见并改善果和梨的数据分辨率.

关键词:
机器学习是机器学习.这种果实是果果.预测特征 预测特征

更多相关视频

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.3K
Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects
15:25

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

26.3K

相关实验视频

Last Updated: Jun 11, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.0K
Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.3K
Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects
15:25

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

26.3K

科学领域:

  • 园艺科学 园艺科学
  • 农业技术 农业技术
  • 计算机视觉 计算机视觉

背景情况:

  • 果的质量评估对于收获时间和储存监测至关重要.
  • 传统的视觉评估是主观的,容易产生评价者偏见,缺乏客观标准.
  • 在不同实验室和实验中确保质量评级的一致性是一项挑战.

研究的目的:

  • 介绍"奶奶",一个用于客观地评估果质量的新工具.
  • 解决传统视觉评估方法的局限性,包括评级者偏差和低分辨率.
  • 为了提供与已建立的质量评级标准的向后兼容性.

主要方法:

  • 使用机器学习和图像处理算法进行水果质量分析.
  • 自动评估粉含量,皮肤缺陷和皮肤颜色.
  • 设计用于客观和高分辨率的水果质量数据收集.

主要成果:

  • 奶奶可以有效地减少水果质量评估中的评级者偏见.
  • 该工具提供了更好的分辨率来分析果实属性,如粉含量和皮肤特征.
  • 提供与现有标准兼容的评级,确保研究的连续性.

结论:

  • 奶奶提高了果质量评估的客观性和分辨率.
  • 通过将水果质量数据与omics和环境因素联系起来,促进整合性分析.
  • 奶奶的开源可用性促进了果实科学的更广泛采用和研究进步.