天蓬
植物冠层
三维重建
植物组织
遥感
度量(数据仓库)
计算机科学
环境科学
人工智能
数据挖掘
植物
生物
地理
作者
Jizhang Wang,Yun Zhang,Rongrong Gu
出处
期刊:Agriculture
[MDPI AG]
日期:2020-10-08
卷期号:10 (10): 462-462
被引量:25
标识
DOI:10.3390/agriculture10100462
摘要
Three-dimensional (3D) plant canopy structure analysis is an important part of plant phenotype studies. To promote the development of plant canopy structure measurement based on 3D reconstruction, we reviewed the latest research progress achieved using visual sensors to measure the 3D plant canopy structure from four aspects, including the principles of 3D plant measurement technologies, the corresponding instruments and specifications of different visual sensors, the methods of plant canopy structure extraction based on 3D reconstruction, and the conclusion and promise of plant canopy measurement technology. In the current research phase on 3D structural plant canopy measurement techniques, the leading algorithms of every step for plant canopy structure measurement based on 3D reconstruction are introduced. Finally, future prospects for a standard phenotypical analytical method, rapid reconstruction, and precision optimization are described.
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