Huang C - Search Results

1

Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks.

Zhang J, Zhao B, Yang C, Shi Y, Liao Q, Zhou G, Wang C, Xie T, Jiang Z, Zhang D, Yang W, Huang C, Xie J. Zhang J, et al. Among authors: huang c. Front Plant Sci. 2020 Jun 10;11:617. doi: 10.3389/fpls.2020.00617. eCollection 2020. Front Plant Sci. 2020. PMID: 32587594 Free PMC article.

2

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

Duan L, Yang W, Huang C, Liu Q. Duan L, et al. Among authors: huang c. Plant Methods. 2011 Dec 12;7:44. doi: 10.1186/1746-4811-7-44. Plant Methods. 2011. PMID: 22152096 Free PMC article.

3

A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plants.

Feng H, Jiang N, Huang C, Fang W, Yang W, Chen G, Xiong L, Liu Q. Feng H, et al. Among authors: huang c. Rev Sci Instrum. 2013 Sep;84(9):095107. doi: 10.1063/1.4818918. Rev Sci Instrum. 2013. PMID: 24089866

4

Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice.

Yang W, Guo Z, Huang C, Duan L, Chen G, Jiang N, Fang W, Feng H, Xie W, Lian X, Wang G, Luo Q, Zhang Q, Liu Q, Xiong L. Yang W, et al. Among authors: huang c. Nat Commun. 2014 Oct 8;5:5087. doi: 10.1038/ncomms6087. Nat Commun. 2014. PMID: 25295980 Free PMC article.

5

Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer.

Yang W, Guo Z, Huang C, Wang K, Jiang N, Feng H, Chen G, Liu Q, Xiong L. Yang W, et al. Among authors: huang c. J Exp Bot. 2015 Sep;66(18):5605-15. doi: 10.1093/jxb/erv100. Epub 2015 Mar 20. J Exp Bot. 2015. PMID: 25796084 Free PMC article.

6

High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.

Zhang X, Huang C, Wu D, Qiao F, Li W, Duan L, Wang K, Xiao Y, Chen G, Liu Q, Xiong L, Yang W, Yan J. Zhang X, et al. Among authors: huang c. Plant Physiol. 2017 Mar;173(3):1554-1564. doi: 10.1104/pp.16.01516. Epub 2017 Jan 30. Plant Physiol. 2017. PMID: 28153923 Free PMC article.

7

Genome-Wide Association Studies of Image Traits Reveal Genetic Architecture of Drought Resistance in Rice.

Guo Z, Yang W, Chang Y, Ma X, Tu H, Xiong F, Jiang N, Feng H, Huang C, Yang P, Zhao H, Chen G, Liu H, Luo L, Hu H, Liu Q, Xiong L. Guo Z, et al. Among authors: huang c. Mol Plant. 2018 Jun 4;11(6):789-805. doi: 10.1016/j.molp.2018.03.018. Epub 2018 Mar 31. Mol Plant. 2018. PMID: 29614319 Free article.

8

Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed Tomography.

Hu W, Zhang C, Jiang Y, Huang C, Liu Q, Xiong L, Yang W, Chen F. Hu W, et al. Among authors: huang c. Plant Phenomics. 2020 May 2;2020:3414926. doi: 10.34133/2020/3414926. eCollection 2020. Plant Phenomics. 2020. PMID: 33313550 Free PMC article.

9

Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera.

Teng X, Zhou G, Wu Y, Huang C, Dong W, Xu S. Teng X, et al. Among authors: huang c. Sensors (Basel). 2021 Jul 6;21(14):4628. doi: 10.3390/s21144628. Sensors (Basel). 2021. PMID: 34300368 Free PMC article.

10

Cereal grain 3D point cloud analysis method for shape extraction and filled/unfilled grain identification based on structured light imaging.

Qin Z, Zhang Z, Hua X, Yang W, Liang X, Zhai R, Huang C. Qin Z, et al. Among authors: huang c. Sci Rep. 2022 Feb 24;12(1):3145. doi: 10.1038/s41598-022-07221-4. Sci Rep. 2022. PMID: 35210561 Free PMC article.

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