An aerial point cloud dataset of apple tree detection and segmentation with integrating RGB information and coordinate information

Citation Author(s):
Ruizhe
Yang
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Wentai
Fang
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Xiaoming
Sun
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Xudong
Jing
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Longsheng
Fu
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China; Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi, 712100, China
Xiaofeng
Wei
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Rui
Li
College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
Submitted by:
Longsheng Fu
Last updated:
Fri, 06/21/2024 - 14:05
DOI:
10.21227/z2yt-cr21
Data Format:
License:
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Abstract 

Accurate detection and segmentation of apple trees are crucial in high throughput phenotyping, further guiding apple trees yield or quality management. A LiDAR and a camera were attached to the UAV to acquire RGB information and coordinate information of a whole orchard. The information was integrated by simultaneous localization and mapping network to form a dataset of RGB-colored point clouds. The dataset can be used for methods related to apple detection and segmentation based on point clouds.

Instructions: 

The dataset includes marked RGB-colored point clouds. Each point cloud in the dataset includes coordinate information (X, Y, Z), color information (red, green, blue) and label (0 or 1). Label 0 represents poles, wires and ground information in orchard. Label 1 represents apple trees information in orchard. The dataset is used for detection and segmentation of apple trees based on point clouds. Tree height, crown length, crown width and other phenotypes of apple trees can be got based on the segmentation.

Comments

Dear Sir,

I would like to research on Apple tree segmentation for branch detection.

Submitted by MD Samiul Islam on Thu, 07/06/2023 - 04:33