Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery

Accurate segmentation of fine roots in field rhizotron imagery is essential for high-throughput root system analysis but remains challenging due to limitations of traditional methods. Traditional methods for root quantification (e.g., soil coring, manual counting) are labor-intensive, subjective, an...

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Bibliografiska uppgifter

Huvudupphov:	Yufan Wang, Fuhao Lu, Changfu Huo
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-08-01
Serie:	Sensors
Ämnen:	rhizotron image segmentation attention mechanism (CBAM) U-Net architecture root phenotyping transfer learning
Länkar:	https://www.mdpi.com/1424-8220/25/16/4956
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