Leveraging deep learning for dollar spot detection and quantification in turfgrass

This study evaluates the effectiveness of fine‐tuning a semantic segmentation model to identify and quantify dollar spot in turfgrasses, the most extensively managed and researched disease of turfgrasses worldwide. Using the DeepLabV3+ model, recognized for its capability to segment complex shapes a...

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Veröffentlicht in:	Crop science 2025-01, Vol.65 (1)
Hauptverfasser:	Kitchin, Elisabeth C. A., Sneed, Henry J., McCall, David S.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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