职称

副教授

学位

博士

电话

邮箱

fenghui@mail.hzau.edu.cn

政治面貌

中共党员

工作单位

华中农业大学信息学院

研究方向

机器学习，计算机视觉，植物表型检测

教育经历

2010/9–2015/6，华中科技大学，生物医学工程，博士

2006/9-2010/6，华中科技大学，生物医学工程，学士

主要职历

2015/7–2017/9，华中农业大学，生物信息，博士后

科研成果

发表论文：

2017

[1]HuiFeng^#, Guoxing Chen, LizhongXiong, Qian Liu, and Wanneng Yang*, Accurate Digitization of the Chlorophyll Distribution of Individual Rice Leaves Using Hyperspectral Imaging and an Integrated Image Analysis Pipeline, Frontiers in Plant Science, 8 (2017), 1238.

[2]HuiFeng^#, ZilongGuo^#, Wanneng Yang, Chenlong Huang, Guoxing Chen, Wei Fang, XiongXiong, Hongyu Zhang, Gongwei Wang, LizhongXiong*, and Qian Liu*, An Integrated Hyperspectral Imaging and Genome-Wide Association Analysis Platform Provides Spectral and Genetic Insights into the Natural Variation in Rice, Sci Rep, 7 (2017), 4401.

2016

[1]Wei Fang,HuiFeng, Wanneng Yang, LingfengDuan, Guoxing Chen, &LizhongXiong, Qian Liu^*, High-throughput volumetric reconstruction for 3d wheat plant architecture studies. Journal of Innovative Optical Health Sciences, 2016, 09(05).

[2]方伟,冯慧,杨万能,刘谦^*,表型检测中用于小麦株型研究的快速三维重建方法.中国农业科技导报(2), 2016, 95-101.

2015

[1]Wanneng Yang^#, ZilongGuo^#, Chenglong Huang, Ke Wang, Ni Jiang,HuiFeng, Guoxing Chen, Qian Liu, LizhongXiong^*. Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer. Journal of Experimental Botany, 2015 Sep;66(18):5605-15.

[2]HuiFeng^#, LizhongXiong, Guoxing Chen, Wangneng Yang, and Qian Liu*, The Segmentation of Leaf and Stem of Individual Rice Plant with Hyperspectral Imaging System and Principal Component Analysis, ACTA LASER BIOLOGY SINIC, 24 (2015), 31-37.

[3]方伟,冯慧,杨万能,刘谦^*,基于可见光成像的单株水稻植株地上部分生物量无损预测方法研究.中国农业科技导报(3), 2015, 63-69.

[4]白亚斌,刘友华,丁崇毅,冯慧,陈伟,冯耀泽^*,基于高光谱技术的牛肉-猪肉掺假检测.海南师范大学学报(自然科学版), 2015, 28(3), 270-273.

2014

[1]Wanneng Yang^#, ZilongGuo^#, Chenglong Huang^#, LingfengDuan^#, GuoxingChen, Ni Jiang, Wei Fang,HuiFeng, WeiboXie, XingmingLian, Gongwei Wang, QingmingLuo, Qifa Zhang, Qian Liu^*, LizhongXiong^*. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nature Communications, 2014, 5, 5087.

2013

HuiFeng^#, Ni Jiang, Chenglong Huang, Wei Fang, Wanneng Yang, Guoxing Chen, LizhongXiong, and Qian Liu*, A Hyperspectral Imaging System for an Accurate Prediction of the above-Ground Biomass of Individual Rice Plants, Review of Scientific Instruments, 84 (2013), 095107.

已授权专利：

[1]基于高光谱成像的整株水稻叶绿素含量测量装置及方法，发明专利，专利授权号：201510413257.4

[2]小型稻麦穗单穗自动脱粒装置，实用新型专利，专利授权号：ZL 2009 20307548.5

参与项目：

[1]中国博士后科学基金面上自助“水稻叶片叶绿素含量高光谱无损测量关键技术研究”(2016.6-2018.6，2016M592345，结题，主持)；

[2]国家863计划“水稻表型信息的数字化获取与解析技术”(2013/01-2017/12，2013AA102403，在研，参与)；

[3]国家863计划“水稻表型性状观测数字化技术研究”(2010/01-2010/12，2010AA10Z203，已结题，参与)。

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