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High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation ne...

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33844b306a6a423ab4ea0f1f93d14405

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network

About this item

Full title

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-01, Vol.16 (1), p.e0241528-e0241528

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Image processing technologies are available for high-throughput acquisition and analysis of phenotypes for crop populations, which is of great significance for crop growth monitoring, evaluation of seedling condition, and cultivation management. However, existing methods rely on empirical segmentation thresholds, thus can have insufficient accuracy...

Alternative Titles

Full title

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_33844b306a6a423ab4ea0f1f93d14405

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33844b306a6a423ab4ea0f1f93d14405

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0241528

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