Early detection of tomato leaf diseases is critical to prevent their spread, but manual detection methods for the same are time-consuming, inconsistent, and labor-intensive. To address this problem, researchers from China developed a novel deep learning network architecture called PLPNet that can accurately detect and distinguish different leaf diseases in real time.

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