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Updated: Jan 22, 2026

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding
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CNNAttLSTM:一个注意力增强的CNN-LSTM架构,用于高精度的叶病症分类

Gaurav Tuteja1, Fuad Ali Mohammed Al-Yarimi2, Amna Ikram3

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.

Frontiers in plant science
|January 21, 2026
PubMed
概括

一个新的深度学习模型,CNNAttLSTM,准确地检测叶病. 这种高效的系统提供实时现场部署,以改善农业监测和精准农业.

关键词:
在CNNAttLSTM模型中.农业人工智能 农业人工智能注意力机制注意力机制疾病诊断 疾病诊断果叶子的分类方式植物疾病检测检测检测检测精准农业 精准农业 精准农业

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