Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks

BACKGROUND: Plant architecture can influence crop yield and quality. Manual extraction of architectural traits is, however, time-consuming, tedious, and error prone. The trait estimation from 3D data addresses occlusion issues with the availability of depth information while deep learning approaches...

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Detalles Bibliográficos
Autores principales: Saeed, Farah, Sun, Shangpeng, Rodriguez-Sanchez, Javier, Snider, John, Liu, Tianming, Li, Changying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061860/
https://www.ncbi.nlm.nih.gov/pubmed/36991422
http://dx.doi.org/10.1186/s13007-023-00996-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061860/
https://www.ncbi.nlm.nih.gov/pubmed/36991422
http://dx.doi.org/10.1186/s13007-023-00996-1

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