Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations

This study describes the evaluation of a range of approaches to semantic segmentation of hyperspectral images of sorghum plants, classifying each pixel as either nonplant or belonging to one of the three organ types (leaf, stalk, panicle). While many current methods for segmentation focus on separat...

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Detalles Bibliográficos
Autores principales: Miao, Chenyong, Pages, Alejandro, Xu, Zheng, Rodene, Eric, Yang, Jinliang, Schnable, James C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706332/
https://www.ncbi.nlm.nih.gov/pubmed/33313555
http://dx.doi.org/10.34133/2020/4216373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706332/
https://www.ncbi.nlm.nih.gov/pubmed/33313555
http://dx.doi.org/10.34133/2020/4216373

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