Tomato seedling stem and leaf segmentation method based on an improved ResNet architecture

IntroductionThe phenotypic traits of tomato plants reflect their growth status, and investigating these characteristics can improve tomato production. Traditional deep learning models face challenges such as excessive parameters, high complexity, and susceptibility to overfitting in point cloud segm...

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Главные авторы:	Lina Zhang, Xinying Li, Zhiyin Yang, Bo Yang, Shengpeng Yu, Shuai Zhao, Ziyi Huang, Xingrui Zhang, Han Yang, Yixing Lin, Helong Yu, Minglai Yang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2025-08-01
Серии:	Frontiers in Plant Science
Предметы:	plant phenotype stem and leaf segmentation in point cloud lightweight network bottleneck block downsampling
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1571445/full
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