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

Plant Methods

Qian Liu¹  Chenglong Huang¹  Wanneng Yang¹  Lingfeng Duan¹ 

[1] Key Laboratory of Biomedical Photonics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, P.R. China

关键词: Machine vision;    Plant phenotyping;    Fast trait evaluation;    Yield-related traits;    Rice;   

Others  :  822796
DOI  :  10.1186/1746-4811-7-44

 received in 2011-10-18, accepted in 2011-12-12,  发布年份 2011

【 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.

【 授权许可】

   
2011 Duan et al; licensee BioMed Central Ltd.

【 图 表 】

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