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Amr Ismail1, Walid Hamdy2,3, Ali H Ibrahim1

  • 1Faculty of Science, Port Said University, Port Said, Egypt.

Scientific reports
|February 20, 2026
PubMed
概括

这项研究引入了DenseNet121用于准确识别病,达到97.9%的准确性. 这种人工智能驱动的方法增强了作物监测,并支持全球粮食安全.

关键词:
在美国,CNN是CNN.分类 分类 分类 分类.密集的网络121机器学习 机器学习米植物疾病 米植物疾病

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