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RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds

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Published in:Plant Phenomics
Format: Online Article RSS Article
Published: 2025
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container_title Plant Phenomics
description
discipline_display Agriculture & Food Sciences
discipline_facet Agriculture & Food Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:10733
institution FRELIP
journal_source_facet Plant Phenomics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
sub_discipline_display AI and Smart Agriculture
sub_discipline_facet AI and Smart Agriculture
subject_display AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
subject_facet AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
title RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_auth RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_full RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_fullStr RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_full_unstemmed RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_short RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds
title_sort rsegnet: an advanced methodology for individual rubber tree segmentation and structural parameter extraction from uav lidar point clouds
topic AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
url https://www.sciopen.com/article/10.1016/j.plaphe.2025.100090