A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice

被引：81

作者：

Duan, Lingfeng ^{[1
,2
]}

Yang, Wanneng ^{[1
,2
]}

Huang, Chenglong ^{[1
,2
]}

Liu, Qian ^{[1
,2
]}

机构：

[1] Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Britton Chance Ctr Biomed Photon, Wuhan 430074, Peoples R China

[2] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Key Lab Biomed Photon, Minist Educ, Wuhan 430074, Peoples R China

来源：

PLANT METHODS | 2011年 / 7卷

关键词：

Rice; Yield-related traits; Fast trait evaluation; Plant phenotyping; Machine vision; ORYZA-RUFIPOGON; GROWTH; IDENTIFICATION; IMAGEJ; LOCI;

D O I：

10.1186/1746-4811-7-44

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The evaluation of yield-related traits is an essential step in rice breeding, genetic research and functional genomics research. A new, automatic, and labor-free facility to automatically thresh rice panicles, evaluate rice yield traits, and subsequently pack filled spikelets is presented in this paper. Tests showed that the facility was capable of evaluating yield-related traits with a mean absolute percentage error of less than 5% and an efficiency of 1440 plants per continuous 24 h workday.

引用

页数：13

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