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相关概念视频

Basic Plant Anatomy: Roots, Stems, and Leaves02:27

Basic Plant Anatomy: Roots, Stems, and Leaves

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The primary organs of vascular plants are roots, stems, and leaves, but these structures can be highly variable, adapted for the specific needs and environment of different plant species.
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Light Acquisition02:16

Light Acquisition

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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.
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Fruit Development, Structure, and Function01:58

Fruit Development, Structure, and Function

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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.
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Seedless Vascular Plants03:24

Seedless Vascular Plants

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Seedless Vascular Plants Were the First Tall Plants on Earth
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Histogram01:05

Histogram

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The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
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Plant Tissues01:18

Plant Tissues

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Plants are multicellular eukaryotes with tissue systems made of various cell types that carry out specific functions. Different tissues work together to perform a unique function and form an organ. Organs working together form organ systems. Vascular plants have two distinct organ systems: a shoot system and a root system. The shoot system consists of two portions: the vegetative (non-reproductive) parts of the plant, such as the leaves and the stems, and the reproductive parts of the plant,...
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相关实验视频

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LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
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LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

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香叶 图像 数据集

Neema Mduma1, Christian Elinisa2

  • 1Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Tengeru, Arusha, Tanzania. neema.mduma@nm-aist.ac.tz.

Scientific data
|March 22, 2025
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概括

一个新的11767张香叶图像数据集帮助机器学习检测疾病. 这种资源支持早期识别黑色西加托卡和Fusarium Wilt Race 1,使农民和研究人员受益.

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:

  • 香种植在全球范围内至关重要,但易受黑色西加托卡和虫虫种族1等疾病的影响.
  • 准确和早期的疾病诊断对于有效的作物管理和产量保存至关重要.
  • 现有的诊断工具可能缺乏可访问性或可扩展性,无法广泛用于农民.

研究的目的:

  • 为机器学习应用引入一个全面的,高分辨率的香叶图像数据集.
  • 为了促进自动化系统的发展,用于检测黑色西加托卡和Fusarium Wilt Race 1.
  • 支持农业利益相关者在疾病早期识别和干预方面.

主要方法:

  • 在坦桑尼亚北部和南部高地地区的各种农场收集了11,767张香叶图像.
  • 将图像分类为健康的,受黑色西加托卡影响的和受虫虫种族1影响的叶子.
  • 通过随机农场选择和高分辨率智能手机捕获,确保了不偏见的数据表示.

主要成果:

  • 该数据集包括3339张健康图像,3496张黑色西加托卡图像和4932张鱼虫竞赛1图像.
  • 这些数据涵盖了2022年11月至2023年1月期间拍摄的图像.
  • 该数据集为用于疾病诊断的机器学习模型培训提供了坚实的基础.

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结论:

  • 这一数据集是研究人员和开发人员创造人工智能驱动的农业解决方案的宝贵资源.
  • 自动疾病检测可以为农民提供及时的信息,以保护作物.
  • 该倡议通过改进疾病管理战略,支持可持续的香种植.