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Visualizing Early Infection Sites of Rice Blast Disease Magnaporthe oryzae on Barley Hordeum vulgare Using a Basic Microscope and a Smartphone
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基于多层次手工特征提取技术的各种水植物疾病的增强分类系统

Yasmin M Alsakar1, Nehal A Sakr1, Mohammed Elmogy2

  • 1Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, 35516, Egypt.

Scientific reports
|December 23, 2024
PubMed
概括

这项研究引入了一种自动化系统,用于通过图像处理和深度学习来检测大米植物叶病. 这种新的特征融合方法实现了高精度,改进了传统的基于专家的诊断.

关键词:
分类 分类 分类 分类.深度学习是一种深度学习.功能提取 功能提取手工制作的 手工制作的叶疾病 叶疾病

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