Automated extraction of pod phenotype data from micro-computed tomography

INTRODUCTION: Plant image datasets have the potential to greatly improve our understanding of the phenotypic response of plants to environmental and genetic factors. However, manual data extraction from such datasets are known to be time-consuming and resource intensive. Therefore, the development o...

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Detalles Bibliográficos
Autores principales: Corcoran, Evangeline, Siles, Laura, Kurup, Smita, Ahnert, Sebastian
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/PMC9998914/
https://www.ncbi.nlm.nih.gov/pubmed/36909425
http://dx.doi.org/10.3389/fpls.2023.1120182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998914/
https://www.ncbi.nlm.nih.gov/pubmed/36909425
http://dx.doi.org/10.3389/fpls.2023.1120182

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