DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field

被引：0

作者：

Yu Jiang

Changying Li

Rui Xu

Shangpeng Sun

Jon S. Robertson

Andrew H. Paterson

机构：

[1] Cornell AgriTech,Horticulture Section, School of Integrative Plant Science

[2] Cornell University,Phenomics and Plant Robotics Center/College of Engineering

[3] The University of Georgia,College of Agricultural & Environmental Sciences

[4] The University of Georgia,Franklin College of Arts and Sciences

[5] The University of Georgia,undefined

来源：

Plant Methods | / 16卷

关键词：

Flowering pattern; Deep learning; Object detection; High-throughput plant phenotyping; Image analysis.;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 33 条

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[2]

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[3]

Bernier G(2004)It's time to flower: the genetic control of flowering time BioEssays 26 363-373

[4]

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[5]

Putterill J(2010)Genome-wide association studies of 14 agronomic traits in rice landraces Nat Genet 42 961-U76

[6]

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[7]

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[8]

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[9]

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[10]

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