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深度合奏学习和可解释的AI用于地球星真菌物种的多类分类

Eda Kumru1, Aras Fahrettin Korkmaz2, Fatih Ekinci3

  • 1Graduate School of Natural and Applied Sciences, Ankara University, 06830 Ankara, Türkiye.

Biology
|October 29, 2025
PubMed
概括

这项研究使用深度学习和可解释的人工智能准确分类八种类似的地球星真菌物种. EfficientNet-B3 + DeiT模型实现了高精度和可解释性,显示了农业监测的潜力.

关键词:
深度学习是一种深度学习.地球星的真菌 地球星的真菌组合模型组合模型组合模型可以解释的AIAI菌类的分类是真菌的分类.形态上的相似性.

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