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基于改进的YOLOv5的轻量级茶叶芽检测方法

Kun Zhang1, Bohan Yuan2, Jingying Cui1

  • 1College of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, 464000, China.

Scientific reports
|December 29, 2024
PubMed
概括

这项研究引入了一种轻量级的茶叶芽检测模型,使用修改后的YOLOv5,提高智能茶叶采摘机器人的准确性和效率. 改进的模型提供了减少的参数和操作,同时提高了检测性能.

关键词:
有效的NetV2 有效的NetV2轻量级的模型轻量级的模型茶叶检测检测器 茶叶检测器这是YOLOv5的.

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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.
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