现代农业装备2025，Vol.46Issue(6)：23-30,8.DOI:10.3969/j.issn.1673-2154.2025.06.004
基于激光点云数据的果树树冠体积测量方法研究进展
Research Progress on the Measurement Method of Fruit Tree Canopy Volume Based on Laser Point Cloud Data
摘要
Abstract
This paper reviewed the methods for measuring tree crown volume based on laser point cloud data,emphasizing the significance of accurately measuring the volume of fruit tree canopies in modern agricultural production.Traditional measurement methods are time-consuming and have low accuracy,while the development of laser scanning unmanned aerial vehicle remote sensing technology and machine vision technology provides new approaches and directions for rapidly obtaining three-dimensional structural information of trees.The paper introduced different types of laser point cloud data and their acquisition methods,including ground laser scanning,airborne laser scanning,and mobile laser scanning,and discussed the main methods for measuring tree crown volume based on point cloud data,such as voxelization method,convex hull method,slicing method,and machine learning method.It analyzed the advantages and disadvantages of these methods and also put forward development suggestions for tree crown volume detection in the future.The paper stressed that choosing the appropriate measurement method is crucial for improving data accuracy and reliability.Meanwhile,the integration of different measurement methods and the improvement of data processing speed were also important research directions in the future.关键词
树冠体积/激光点云/树干识别/树冠估计Key words
tree canopy volume/laser point cloud/trunk recognition/tree canopy estimation分类
农业科技引用本文复制引用
LIU Xiaotong,ZHANG Ruihua,ZHANG Wei,ZHANG Xiaohua..基于激光点云数据的果树树冠体积测量方法研究进展[J].现代农业装备,2025,46(6):23-30,8.基金项目
广东省普通高校重点领域专项矮化密植型果园喷雾系统精准化关键技术研究(2021ZDZX4052) （2021ZDZX4052）
广东省普通高校重点领域专项岭南特色水果采后移动式分级预冷设备多目标路径优化研究(2023ZDZX4018) （2023ZDZX4018）
