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

Yinglun Li; Weiliang Wen; Xinyu Guo; Zetao Yu; Shenghao Gu; Haipeng Yan; Chunjiang Zhao

doi:10.1371/journal.pone.0241528

Loading metrics

Open Access

Peer-reviewed

Research Article

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

Yinglun Li,

Roles Data curation, Methodology, Writing – original draft, Writing – review & editing

Affiliations College of Resources and Environment, Jilin Agricultural University, Changchun, China, Beijing Research Center for Information Technology in Agriculture, Beijing, China
⨯
Weiliang Wen ,

Roles Funding acquisition, Writing – original draft, Writing – review & editing

* E-mail: wlwen37@163.com (WW); zhaocj@nercita.org.cn (CZ)

Affiliations Beijing Research Center for Information Technology in Agriculture, Beijing, China, Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China

https://orcid.org/0000-0001-7184-5121

⨯
Xinyu Guo,

Roles Funding acquisition, Resources

Affiliations Beijing Research Center for Information Technology in Agriculture, Beijing, China, Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
⨯
Zetao Yu,

Roles Validation

Affiliation Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
⨯
Shenghao Gu,

Roles Visualization

Affiliations Beijing Research Center for Information Technology in Agriculture, Beijing, China, Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
⨯
Haipeng Yan,

Roles Data curation

Affiliation Beijing Shunxin Agricultural Science and Technology Co., Ltd, Beijing, China
⨯
Chunjiang Zhao

Roles Funding acquisition, Supervision

* E-mail: wlwen37@163.com (WW); zhaocj@nercita.org.cn (CZ)

Affiliations College of Resources and Environment, Jilin Agricultural University, Changchun, China, Beijing Research Center for Information Technology in Agriculture, Beijing, China, Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
⨯

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

Yinglun Li,
Weiliang Wen,
Xinyu Guo,
Zetao Yu,
Shenghao Gu,
Haipeng Yan,
Chunjiang Zhao

Published: January 12, 2021
https://doi.org/10.1371/journal.pone.0241528

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Maize
Is the Subject Area "Maize" applicable to this article?

Thanks for your feedback.
Phenotypes
Is the Subject Area "Phenotypes" applicable to this article?

Thanks for your feedback.
Seedlings
Is the Subject Area "Seedlings" applicable to this article?

Thanks for your feedback.
Crops
Is the Subject Area "Crops" applicable to this article?

Thanks for your feedback.
Image processing
Is the Subject Area "Image processing" applicable to this article?

Thanks for your feedback.
Convolution
Is the Subject Area "Convolution" applicable to this article?

Thanks for your feedback.
Radii
Is the Subject Area "Radii" applicable to this article?

Thanks for your feedback.
Aspect ratio
Is the Subject Area "Aspect ratio" applicable to this article?

Thanks for your feedback.