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Updated: Feb 13, 2026

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一个轻量级的混合CNN和变压器模型用于药用叶病的分类,具有可解释的AI

Jalal Ahmmed1, Md Alamgir Kabir2, Atiq Ur Rehman3

  • 1Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.

Scientific reports
|February 11, 2026
PubMed
概括

一个新的轻量级深度学习模型,LSeTNet,准确地检测药用植物叶病. 这种人工智能方法确保了可持续的种植,并保护有价值的生物活性化合物免受产量损失.

关键词:
可解释的人工智能混合CNN变压器叶病的分类 叶病的分类药用植物 药用植物精准农业 精准农业 精准农业

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