Soybean Seedling Root Segmentation Using Improved U-Net Network

Soybean Seedling Root Segmentation Using Improved U-Net Network

Soybean seedling root morphology is important to genetic breeding. Root segmentation is a key technique for identifying root morphological characteristics. This paper proposed a semantic segmentation model of soybean seedling root images based on an improved U-Net network to address the problems of...

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Bibliographic Details
Main Authors: Xiuying Xu, Jinkai Qiu, Wei Zhang, Zheng Zhou, Ye Kang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
soybean seedling
root image
semantic segmentation
U-Net model
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/22/22/8904

Internet

https://www.mdpi.com/1424-8220/22/22/8904

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