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綿の葉の病気を解釈可能かつ正確に分類するための注意機構強化型CNNアンサンブル

Md Ehsanul Haque1, Md Tamim Hasan Saykat1, Md Al-Imran1

  • 1Department of Computer Science and Engineering, East West University, Dhaka, 1212, Bangladesh.

Scientific reports
|January 10, 2026
PubMed
まとめ

本研究では、綿の葉の病気の正確な識別を目的とした高度なAIモデルであるコットンリーフネットを紹介します。作物収量と品質を向上させるための、高速で信頼性が高く、解釈可能なソリューションを提供します。

キーワード:
綿の葉の病気AIディープラーニングCNN画像分類解釈可能性農業

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