“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...

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Detalles Bibliográficos
Autores principales: Young, Therin J., Jubery, Talukder Z., Carley, Clayton N., Carroll, Matthew, Sarkar, Soumik, Singh, Asheesh K., Singh, Arti, Ganapathysubramanian, Baskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
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

Internet

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

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