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Updated: Jan 17, 2026

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DSA-net:一种基于深度学习的轻量级和高效的模型,用于识别豆叶病

Laixiang Xu1, Yiru Duan1, Zhaopeng Cai2

  • 1School of Computer and Data Science, Henan University of Urban Construction, Pingdingshan, China.

Frontiers in plant science
|September 15, 2025
PubMed
概括

一个新的深度学习模型,DSA-Net,使用改进的MobileNet-V3_small与注意力机制准确识别豆叶疾病. 这种进步为现代农业和潜在的边缘设备部署提供了高精度.

关键词:
移动网络-V3_小的注意力机制注意力机制深度学习是一种深度学习.叶病是一种叶病.豆子叶子 豆子叶子

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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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