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Updated: Aug 4, 2026

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从识别到预测:图像识别和人工智能的潜力用于虫虫害监测

Philipp Batz1, Torsten Will2, Sebastian Thiel1

  • 1ALM - Adaptiv Lernende Maschinen - Gesellschaft mit beschränkter Haftung (GmbH), Nisterau, Germany.

Frontiers in plant science
|August 4, 2023
PubMed
概括

使用人工智能和图像识别的自动化昆虫识别可以克服分析吸入陷数据的瓶. 这项技术有助于预测害虫爆发和管理作物保护战略.

关键词:
应用昆虫学 应用昆虫学卷积神经网络是一种卷积神经网络.决策支持系统 决策支持系统深度学习是一种深度学习.基于图像的识别识别综合性害虫防治 综合性害虫防治变压器模型 变压器模型

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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.