首页|期刊导航|植物表型组学（英文）|TPDNet:Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields

TPDNet:Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields

Yazhou Wang Tianhan Zhang Xingcai Wu Qinglei Li Yuquan Li Qi Wang

植物表型组学（英文）2025，Vol.7Issue(2)：193-204,12.

植物表型组学（英文）2025，Vol.7Issue(2)：193-204,12.DOI:10.1016/j.plaphe.2025.100048

TPDNet:Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields

Yazhou Wang ¹Tianhan Zhang ²Xingcai Wu ²Qinglei Li ²Yuquan Li ²Qi Wang²

作者信息

1. School of Information,Guizhou University of Finance and Economics,Guiyang,550025,China
2. State Key Laboratory of Public Big Data,College of Computer Science and Technology,Guizhou University,Guiyang,550025,China
折叠

摘要

关键词

3D object detection/Monocular/Melons and fruits in fields

Key words

3D object detection/Monocular/Melons and fruits in fields

引用本文复制引用

Yazhou Wang,Tianhan Zhang,Xingcai Wu,Qinglei Li,Yuquan Li,Qi Wang..TPDNet:Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields[J].植物表型组学（英文）,2025,7(2):193-204,12.

基金项目

This research was supported by the National Key R&D Program of China(2024YFE0214300),Guizhou Provincial Science and Technology Projects([2024]002,CXTD[2023]027),Guizhou Province Youth Science and Technology Talent Project([2024]317),Guiyang Guian Science and Technology Talent Training Project([2024]2-15),Academic Innovation Exploration and Emerging Scholars Program of Guizhou University of Finance and Economics:2024XSXMB08. （2024YFE0214300）

植物表型组学（英文）

访问量0

下载量0

段落导航