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“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies
Advances in imaging hardware allow high throughput capture of the detailed three-dimensional (3D) structure of plant canopies. The point cloud data is typically post-processed to extract coarse-scale geometric features (like volume, surface area, height, etc.) for downstream analysis. We extend feat...
| 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/PMC10090282/ https://www.ncbi.nlm.nih.gov/pubmed/37063230 http://dx.doi.org/10.3389/fpls.2023.1141153 |