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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Bibliografiske detaljer
Udgivet i:Plant Phenomics
Main Authors: Miao, Chenyong, Pages, Alejandro, Xu, Zheng, Rodene, Eric, Yang, Jinliang, Schnable, James C.
Format: Artigo
Sprog:Inglês
Udgivet: AAAS 2020
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7706332/
https://ncbi.nlm.nih.gov/pubmed/33313555
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.34133/2020/4216373
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