3D data-augmentation methods for semantic segmentation of tomato plant parts

INTRODUCTION: 3D semantic segmentation of plant point clouds is an important step towards automatic plant phenotyping and crop modeling. Since traditional hand-designed methods for point-cloud processing face challenges in generalisation, current methods are based on deep neural network that learn t...

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Detalles Bibliográficos
Autores principales: Xin, Bolai, Sun, Ji, Bartholomeus, Harm, Kootstra, Gert
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/PMC10291624/
https://www.ncbi.nlm.nih.gov/pubmed/37377799
http://dx.doi.org/10.3389/fpls.2023.1045545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291624/
https://www.ncbi.nlm.nih.gov/pubmed/37377799
http://dx.doi.org/10.3389/fpls.2023.1045545

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