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Updated: Aug 12, 2026

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
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A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

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在Apolygus lucorum和Empoasca spp.的图像检测模型构建中. 基于改进的YOLOv5的基础上

Bo Xiong1, Delu Li1, Qi Zhang1

  • 1State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Plant Protection Resources and Pest Management of Ministry of Education, Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling, China.

Pest management science
|January 20, 2024
PubMed
概括

一个新的深度学习模型,YOLOv5s_HSSE,准确地检测和计数Apolygus lucorum和Empoasca spp. 在粘性陷上,为传统的害虫监测方法提供了有效的替代方案.

关键词:
这就是YOLOv5s_HSSE模型.自动检测自动检测绿叶是一种绿色的虫.多虫米里德虫虫虫的多虫.

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相关概念视频

Light Acquisition02:16

Light Acquisition

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.
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...