A Method for Identifying Picking Points in Safflower Point Clouds Based on an Improved PointNet++ Network
To address the challenge of precise picking point localization in morphologically diverse safflower plants, this study proposes PointSafNet—a novel three-stage 3D point cloud analysis framework with distinct architectural and methodological innovations. In Stage I, we introduce a multi-view reconstr...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2025-05-01
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| Schriftenreihe: | Agronomy |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2073-4395/15/5/1125 |
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