Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations

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...

Полное описание

Библиографические подробности
Главные авторы:	Chenyong Miao, Alejandro Pages, Zheng Xu, Eric Rodene, Jinliang Yang, James C. Schnable
Формат:	Статья
Язык:	English
Опубликовано:	American Association for the Advancement of Science (AAAS) 2020-01-01
Серии:	Plant Phenomics
Online-ссылка:	http://dx.doi.org/10.34133/2020/4216373

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