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

- Citation Author(s):
- 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.
Comments
Dear Sir,
I would like to research on Apple tree segmentation for branch detection.
Dear Sir,
I would like to research on Apple tree segmentation for branch detection