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Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation

Rui Yang Mengyuan Chen Xiangyu Lu Yong He Yanmei Li Mingliang Xu Mu Li Wei Huang Fei Liu

植物表型组学（英文）2025，Vol.7Issue(1)：102-113,12.

植物表型组学（英文）2025，Vol.7Issue(1)：102-113,12.DOI:10.1016/j.plaphe.2025.100011

Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation

Rui Yang ¹Mengyuan Chen ¹Xiangyu Lu ¹Yong He ¹Yanmei Li ²Mingliang Xu ²Mu Li ³Wei Huang ³Fei Liu¹

作者信息

1. College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou,310058,China
2. National Maize Improvement Centre of China,China Agricultural University,Beijing,100193,China
3. Maize Research Institute,Jilin Academy of Agricultural Sciences,Gongzhuling City,136100,China
折叠

摘要

关键词

Maize seedling/Emergence rate/UAV image/Semi-supervised object detection/Direct geolocation

Key words

Maize seedling/Emergence rate/UAV image/Semi-supervised object detection/Direct geolocation

引用本文复制引用

Rui Yang,Mengyuan Chen,Xiangyu Lu,Yong He,Yanmei Li,Mingliang Xu,Mu Li,Wei Huang,Fei Liu..Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation[J].植物表型组学（英文）,2025,7(1):102-113,12.

基金项目

This work was supported by National Key R&D Program of China(2023YFD2000203)and Science and Technology Department of Zhe-jiang Province(2022C02034). （2023YFD2000203）

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