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Updated: Jan 13, 2026

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AI駆動型CNNによる植物のリアルタイム病害診断

D Devarajan1, Randa Allafi2, Marwa Obayya3

  • 1Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India, 611002. devarajand@ymail.com.

Scientific reports
|January 6, 2026
PubMed
まとめ

本研究では、リアルタイム植物病害診断のためのディープラーニングフレームワークを紹介します。AIモデルは画像から病気を正確に特定し、より迅速で信頼性の高い作物健康管理を可能にし、収量損失を削減します。

キーワード:
畳み込みニューラルネットワークディープラーニング植物病害診断精密農業リアルタイムモニタリングスマート農業

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