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Updated: Jul 23, 2025

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MTDL-EPDCLD:基于深度学习的多任务系统,用于提高玉米叶病的精确检测和诊断

Dikang Dai1, Peiwen Xia1, Zeyang Zhu2

  • 1School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210000, China.

Plants (Basel, Switzerland)
|July 14, 2023
PubMed
概括

一个新的多任务深度学习系统 (MTDL-EPDCLD) 准确检测玉米叶病. 这种人工智能工具有助于农民及时诊断,提高作物产量和粮食安全.

关键词:
检测玉米叶病检测玉米叶病检测深度学习是一种深度学习.移动应用程序移动应用程序多任务系统多任务系统空间注意力机制空间注意力机制

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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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