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强大的咖啡植物疾病分类使用深度学习和先进的功能工程技术

Hanin Ardah1, Maher Alrahhal2, Walaa M Abd-Elhafiez3,4

  • 1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

PeerJ. Computer science
|December 12, 2025
PubMed
概括

这项研究引入了一种先进的深度学习框架,用于识别咖啡叶疾病. 混合模型结合了多个神经网络和特征选择技术,在分类中达到99%以上的准确性.

关键词:
这是一个ANOVA,一个ANOVA.在美国,CNN是CNN.分类 分类 分类 分类.咖啡植物疾病 咖啡植物疾病深度学习是一种深度学习.有效的网络有效的网络功能 功能 功能 功能.植物疾病 植物疾病预测 预测 预测这是SVDVD.

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