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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Xehetasun bibliografikoak

Egile Nagusiak:	Lina Zhang, Xinying Li, Zhiyin Yang, Bo Yang, Shengpeng Yu, Shuai Zhao, Ziyi Huang, Xingrui Zhang, Han Yang, Yixing Lin, Helong Yu, Minglai Yang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2025-08-01
Saila:	Frontiers in Plant Science
Gaiak:	plant phenotype stem and leaf segmentation in point cloud lightweight network bottleneck block downsampling
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1571445/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!