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相关概念视频

Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

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The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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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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相关实验视频

Updated: May 10, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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CPDMS:用于管理作物生理障碍的数据库系统.

Jae-Hyeon Oh1, Hwang-Weon Jeong1, Il Pyung Ahn1

  • 1National institute of Agricultural Sciences, Rural Development Administration, 370, Jeonju-si, Jeollabuk-do 54874, Republic of Korea.

Database : the journal of biological databases and curation
|April 22, 2025
PubMed
概括

研究人员开发了一种用于精准农业的实时作物成像系统,在各种压力条件下收集了超过58,000张西红植物的图像,以训练AI模型用于疾病检测.

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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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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:

  • 精准农业需要有效的实时数据收集,用于作物监测.
  • 识别像番茄这样的作物中的生理障碍对于优化产量至关重要.

研究的目的:

  • 开发一个可扩展的系统,用于收集实时作物图像和相关数据.
  • 为农业研究和人工智能开发创造一个有价值的资源.

主要方法:

  • 一个系统被设计用于捕捉各种图像 (正面,顶部,树枝视图) 七种番茄品种在压力下 (细菌枯,病毒,干旱,盐度).
  • 一个深度学习模型被训练并使用大量数据集进行测试 (24,000培训,13,037测试图像).
  • 使用数据增强和超参数调整来提高模型性能.

主要成果:

  • 创建了一个由58,479张图像组成的数据集,其中43,894张适合标记.
  • 深度学习模型实现了0.46的平均平均精度 (mAP) 和0.60的回忆率.
  • 该研究表明,该系统在不同农业环境中具有普遍化的潜力.

结论:

  • 开发的系统和数据库是推动农业人工智能的重要资源.
  • 这些发现支持将人工智能纳入精准农业,以改善作物管理.
  • 进一步的研究可以扩大该系统对其他作物和环境的适用性.