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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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Salvato in:
Dettagli Bibliografici
Pubblicato in:Plant Phenomics
Autori principali: Miao, Chenyong, Pages, Alejandro, Xu, Zheng, Rodene, Eric, Yang, Jinliang, Schnable, James C.
Natura: Artigo
Lingua:Inglês
Pubblicazione: AAAS 2020
Soggetti:
Accesso online: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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