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...

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Chi tiết về thư mục
Những tác giả chính:	Chenyong Miao, Alejandro Pages, Zheng Xu, Eric Rodene, Jinliang Yang, James C. Schnable
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	American Association for the Advancement of Science (AAAS) 2020-01-01
Loạt:	Plant Phenomics
Truy cập trực tuyến:	http://dx.doi.org/10.34133/2020/4216373

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