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An intelligent computer vision-based deep learning framework for automated detection, localization, and classification of fruit diseases in precision agriculture systems

Aug 2026 · Signal, Image and Video Processing · Vol 20 · 0 citations · 43 references
Computer Science

TL;DR

The DL-FDD framework establishes a new performance benchmark for automated fruit disease detection, providing a scalable, interpretable, and computationally efficient solution suitable for real-world precision agriculture deployment.

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