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亚洲的数据集可以用于质量评估和机器学习应用程序

Rohini Jadhav1, Mayuri Molawade1, Amol Bhosle2

  • 1Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.

Data in brief
|December 17, 2024
PubMed
概括

创建了一个 Centella asiatica 叶片图像的新数据集,以改善草药的质量控制. 这个机器学习资源有助于识别传统医学应用的叶子健康状况.

关键词:
人工智能的人工智能是人工智能.布拉希米是一个布拉希米.机器学习是机器学习.药用植物 药用植物质量评估质量评估的质量评估.

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