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Updated: Jun 11, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
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基于改进的YOLOv8的草叶自动检测疾病

Yuelong He1,2, Yunfeng Peng1,2, Chuyong Wei1,2

  • 1College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Plants (Basel, Switzerland)
|September 28, 2024
PubMed
概括

及时检测草叶病对产量至关重要. 新的KTD-YOLOv8模型提高了疾病识别的准确性和速度,为智能植物监测系统提供了宝贵的工具.

关键词:
深度学习是一种深度学习.智能农业 智能农业草病是一种草病.目标检测 目标检测 目标检测

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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.
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