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Point clouds segmentation of rapeseed siliques based on sparse-dense point clouds mapping
In this study, we propose a high-throughput and low-cost automatic detection method based on deep learning to replace the inefficient manual counting of rapeseed siliques. First, a video is captured with a smartphone around the rapeseed plants in the silique stage. Feature point detection and matchi...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375295/ https://www.ncbi.nlm.nih.gov/pubmed/37521934 http://dx.doi.org/10.3389/fpls.2023.1188286 |