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相关概念视频

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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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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Introduction to Learning01:18

Introduction to Learning

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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  • 1Department of Biological and Agricultural Engineering, Texas A&M AgriLife Research, Texas A&M University System, Dallas, TX 75252, USA.

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此摘要是机器生成的。

这项研究介绍了YOLO-SAM AgriScan,这是一个新的框架,用于高效的草细分. 它将少量射击学习与零射击细分相结合,减少农业应用程序的手动注释需求.

关键词:
萨姆·萨姆·萨姆·萨姆是什么意思这是一个YOLO YOLO.检测 检测 检测 检测 检测几次射击,几次射击.精准农业 精准农业 精准农业细分化 细分化的细分化草 草 草 的意思没有射击的零射击.

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科学领域:

  • 计算机视觉 计算机视觉
  • 农业技术 农业技术
  • 机器学习 机器学习

背景情况:

  • 传统的图像细分方法用于农业是缓慢的,需要大量的手动注释.
  • 这种劳动密集型的过程限制了自动农业监测系统的可扩展性.

研究的目的:

  • 开发一个高效和可扩展的框架,用于在工厂成熟的草细分.
  • 克服农业计算机视觉任务中手动注释的局限性.

主要方法:

  • 一个混合框架,YOLO-SAM AgriScan,整合了YOLOv11用于少数镜头对象检测和Segment Anything Model 2 (SAM2)用于零镜头细分.
  • YOLOv11使用最小的注释样本进行了微调,而SAM2则在没有进一步监督的情况下生成了口罩.
  • 该系统在定制和公共数据集上进行了评估,在完整数据和数据受限制的场景中进行了评估.

主要成果:

  • 该框架实现了高性能,在定制数据集上,平均子得分为0.95和IOU为0.93.
  • 在公开数据上保持了竞争性结果 (Dice: 0.95, IoU: 0.92).
  • 在各种农业环境中证明了稳定性,通用性和实际相关性.

结论:

  • 结合少数射击检测和零射击细分,为农业表型化提供了有效的注释光方法.
  • YOLO-SAM AgriScan能够实现可扩展和高效的草细分,加速智能农业系统.