Automated Measurement of Field Crop Phenotypic Traits Using UAV 3D Point Clouds and an Improved PointNet++

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Yao, Jiatong;Wang, Wei;Fu, Hongyu;Deng, Zhehong;Cui, Guoxian;...

作者机构：

[Yao, Jiatong; Deng, Zhehong; Cao, Xiaolan] College of Information and Intelligence, Hunan Agricultural University, Changsha, China

[Wang, Wei; Cui, Guoxian; She, Wei] College of Agriculture, Hunan Agricultural University, Changsha, China

[Fu, Hongyu] Hunan Cultivated Land and Agricultural Eco-Environment Institute,, Changsha, China

[Shuaibin, Wang; Wang, Dong] Technology Center, China Tobacco Hunan Industrial Co., Ltd,, Changsha, China

语种：

英文

关键词：

UAV remote sensing;3D point cloud;deep learning;phenotypic trait extraction;stem-leaf segmentation

期刊：

FRONTIERS IN PLANT SCIENCE

ISSN：

1664-462X

年：

2025

卷：

页码：

1654232

DOI：

10.3389/fpls.2025.1654232

机构署名：

本校为第一机构

院系归属：

农学院

摘要：

Accurate acquisition of tobacco phenotypic traits is crucial for growth monitoring, cultivar selection, and other scientific management practices. Traditional manual measurements are time-consuming and labor-intensive, making them unsuitable for large-scale, high-throughput field phenotyping. The integration of 3D reconstruction and stem-leaf segmentation techniques offers an effective approach for crop phenotypic data acquisition. In this study, we propose a tobacco phenotyping method that combines unmanned aerial vehicle (UAV) remote sensing ...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Automated Measurement of Field Crop Phenotypic Traits Using UAV 3D Point Clouds and an Improved PointNet++

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问