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植物害虫和疾病轻量级识别模型通过融合张量特征和知识蒸

Xiaoli Zhang1, Kun Liang1, Yiying Zhang1

  • 1College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin, China.

Frontiers in plant science
|December 6, 2024
PubMed
概括

一个新的植物害虫和疾病轻量级识别模型 (PDLM-TK) 通过使用融合张量和知识蒸功能准确识别疾病来提高作物产量. 该模型提高了诊断效率和准确性,以更好地管理植物健康.

关键词:
图表卷积神经网络 卷积神经网络图像的分类图像的分类.知识的蒸知识的蒸.轻量级的重量级轻量级的重量级.一个空间张量.

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