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相关概念视频

Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Multimachine Stability01:25

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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相关实验视频

Updated: Jan 15, 2026

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform
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一个SCG-YOLOv8n土豆计数框架,具有高效的移动部署.

Leichao Du1, Jichao Li2, Jing Yang2

  • 1Gansu Academy of Agri-Engineering Technology, Lanzhou, 730030, Gansu, China.

Scientific reports
|October 7, 2025
PubMed
概括

本研究介绍了SCG-YOLOv8n,这是一种高效的AI模型,用于在具有挑战性的田间条件下检测和计数土豆. 它使准确农业的实时移动应用程序成为可能.

关键词:
轻量级的模型轻量级的模型移动部署的移动部署发现土豆的检测器实时计数 实时计数智能农业智能农业这就是YOLOv8n.

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科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 准确的土豆检测对于产量估计和农业自动分类至关重要.
  • 诸如土壤封闭和照明不良等现场条件对当前的视觉识别系统构成挑战.

研究的目的:

  • 开发一个紧的,适合现场的物体检测框架,用于早期土豆收获的监测.
  • 在现实世界农业环境中提高土豆计数和检测的准确性和效率.

主要方法:

  • 推出了SCG-YOLOv8n,这是一个基于YOLOv8n的框架,具有C-SPD模块,S-CARAFE操作员和GhostShuffleConv层.
  • 集成的Float16量子化用于将模型压缩到3.2 MB,从而实现实时移动推理.
  • 开发了PotatoDetector移动应用程序,用于现场部署和测试.

主要成果:

  • 在实地实验中,SCG-YOLOv8n在实地实验中表现出了优于YOLOv5n及其基础版本的性能.
  • 该模型在土豆计数任务中实现了高精度,RMSE为1.38和R2为0.96.
  • 压缩模型可以通过PotatoDetector应用程序在Android设备上实时推断.

结论:

  • SCG-YOLOv8n为精准农业提供了一种实用且可扩展的解决方案,特别是用于土豆监测.
  • 该框架显示了适应其他根茎和茎作物检测场景的潜力.
  • 开发的移动应用程序通过可访问的技术促进了数据驱动的农业决策.