文献类型： 外文期刊
作者： Liu, Chenhui 1 ; Wang, Hong 2 ; Liu, Chengliang 1 ; Gong, Liang 1 ;
作者机构： 1.Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China
2.Shanghai Acad Agr Sci, Inst Facil Hort, Shanghai, Peoples R China
关键词： component; point cloud; 3D reconstruction; plant phenotyping; automation
期刊名称：2020 3RD WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2020)
ISSN：
年卷期： 2020 年
页码：
收录情况： SCI
摘要： An automatic monitoring platform for plant breeding is built to provide accurate environmental parameters and phenotypic parameters for agronomic researchers during breeding experiments. Plant weight, soil humidity, air condition and plant 3D model could be recorded automatically. Plant point cloud could be gathered front multi directions by depth camera and be merged by rotation and ICP registration. Revised point clouds of full plants are used as dataset for measurement and classification. With the help of this platform, agronomy researchers could get plant parameters faster than ever.
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