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Beetroot type classification based on 3D structure constructed with neural radiance fields

delete2026-04-20
delete0
PRE
AI
Z
Zhi Wang
S
Shuaipeng Fei
K
Ke Shao
Z
Zhimin Yang
R
Ruili Wang
Y
Yang Sui
Y
Yuntao Ma *
DOI：10.1016/j.compag.2026.111790delete
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摘要

摘要

En 中文
• NeRF实现了比SfM-MVS更少伪影的高保真度甜菜根3D重建。 • 提出了一种端到端网络Point-SugarRoot，集成了KAN和CBAM模块。 • Point-SugarRoot超越了PointNet++，并优于2D图像和表型路径。 • 该研究为品种育种和作物管理提供了有价值的技术见解。
Keyword:
Neural Radiance Fields
Beetroot Classification
3D Reconstruction
Point-SugarRoot
Cultivar Breeding

期刊

Computers and Electronics in Agriculture 封面图
Computers and Electronics in Agriculture
IF:
8.9
论文数:
1.0W
被引数:
4.8W

机构

I
Inner Mongolia Academy of Science and Technology
学者数:
61
论文数: 57
被引数: 4
C
China Agricultural University
学者数:
4.0K
论文数: 1.2K
被引数: 5.2W
引用论文

引用论文

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