Analysis of canopy characteristics of three types of peach trees based on TLS LiDAR point cloud#br#

doi:10.13733/j.jcam.issn.2095‑5553.2025.02.027

Abstract

Abstract: In order to achieve standardized cultivation and rapid quantitative assessment of canopy characteristics during the stable period of peach tree foliage, TLS LiDAR was utilized to collect point cloud data from trunk, open‑center, and Y—shaped peach trees. Based on the point cloud data, six indicators describing the canopy characteristics were calculated, including canopy area, aspect ratio, effective leaf area, leaf area index (LAI), coverage, and plant height. The distribution characteristics of leaf area at different heights were statistically analyzed. The results showed that the six indicators calculated from the point cloud data accurately reflected the overall canopy characteristics of the three types of peach tree shapes, and the vertical distribution features were consistent with the growth patterns of the canopy for each tree shape. Compared with the measured plant height and LAI, the relative accuracy of the point cloud‑based calculations was 98.3% and 91.7%, respectively. This study tested multiple quantitative assessment indicators of fruit tree canopy characteristics, providing critical digital technology support for the standardized cultivation of peach trees.

Key words: LiDAR point cloud, peach tree, canopy characteristics, feature indicators, standardized cultivation

摘要： 为实现标准化栽培桃树叶幕稳定时期冠层特征的快速定量评估，利用TLS LiDAR采集主干形、开心形与Y字形桃树点云数据，计算冠幅面积、纵横比、有效叶面积、叶面积指数、覆盖度、株高等描述冠层总体特征的6项指标，并统计各层叶面积随高度变化的分布特征。结果显示：基于点云计算的6项指标能准确反映3类树形桃树冠层总体特征，垂直分布特征符合各树形冠层生长形态；与实测的株高和LAI相比，基于点云的计算结果相对精度分别为98.3%和91.7%。该研究测试多项定量评估果树冠层特征的指标，为桃树标准化栽培提供关键数字化技术支持。

关键词: LiDAR点云, 桃树, 冠层特征, 特征指标, 标准化栽培

CLC Number:

S66
TP391.4

Zhong Dan, Li Zongnan, Wang Si, Chen Hongwen, Qiu Xia, Lei Shuwan. Analysis of canopy characteristics of three types of peach trees based on TLS LiDAR point cloud#br#[J]. Journal of Chinese Agricultural Mechanization, 2025, 46(2): 181-186.

钟丹, 李宗南, 王思, 陈鸿文, 邱霞, 雷舒惋. 基于TLS LiDAR点云的3类桃树冠层特征分析[J]. 中国农机化学报, 2025, 46(2): 181-186.

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[1]	Zhong Dan, Chen Hongwen, Wang Si, Qiu Xia, Pu Changbing, Li Zongnan. Extracting peach tree structural parameters based on MLS LiDAR point cloud [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(5): 182-187.
[2]	hang Pingchuan, Hu Yanjun, , , Zhang Ye , Zhang Caihong, Chen Zhao, Chen Xu. Recognition of peach tree yellow leaf disease under complex background based on improved FasterRCNN [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(3): 219-225.