杨万能
博士生导师
教师姓名：杨万能
教师拼音名称：yangwanneng
职称：教授
学历：博士研究生毕业
学位：博士
办公地点：作物遗传改良国家重点实验室作物表型平台
电子邮箱：
毕业院校：华中科技大学
所属院系：植物科学技术学院
所在单位：植物科学技术学院
其他联系方式
通讯/办公地址：
办公室电话：
论文成果
- Lejun Yu#, Jiawei Shi#, Chenglong Huang, Lingfeng Duan, Di Wu, Debao Fu, Changyin Wu, Lizhong Xiong, Wanneng Yang*, Qian Liu*. An integrated rice panicle phenotyping method based on X-ray and RGB scanning and deep learning. The Crop Journal 2021, 9(1): 42-56. https://doi.org/10.1016/j.cj.2020.06.009.
- Xiuying Liang#, Junli Ye#, Xiaoyu Li, Zhixin Tang, Xuehai Zhang, Wenqiang Li, Jianbing Yan, Wanneng Yang*. A high-throughput and low-cost maize ear traits scorer. Molecular Breeding, 2021, 41:17..
- Di Wu#, Dan Wu#, Hui Feng, Lingfeng Duan, Guoxing Dai, Xiao Liu, Kang Wang, Peng Yang, Guoxing Chen, Alan P. Gay, John H. Doonan, Zhiyou Niu, Lizhong Xiong and Wanneng Yang*. A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits. Plant Communications, 2021, https://doi.org/10.1016/j.xplc.2021.100165（封面论文）.
- Peng Song#, Jinglu Wang#, Xinyu Guo*, Wanneng Yang*, Chunjiang Zhao. High-throughput phenotyping: Breaking through the bottleneck in future crop breeding. The Crop Journal 2021.
- Xi Wu#, Hui Feng#, Di Wu, Shijuan Yan, Pei Zhang, Wenbin Wang, Junli Ye, Guoxin Dai, Yuan Fan, Weikun Li, Baoxing Song, Zedong Geng, Jun Zhang, Wanli Yang, Guoxin Chen, Feng Qin, William Terzaghi, Michelle Stitzer, Lin Li, Lizhong Xiong, Jianbing Yan, Edward Buckler, Wanneng Yang*, Mingqiu Da*. Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance. Genome Biology, 2021, 22:185..
- 梁秀英，周风燃，陈欢，梁博，徐锡晨，杨万能。基于运动恢复结构的玉米植株三维重建与性状提取。农业机械学报，2020，51（6）：209-219..
- 吴丹，叶军立，王康，耿泽栋，付晶波，刘凌波，杨万能*。基于轮廓投影的盆栽水稻三维重建方法研究。中国农业科技导报，2020，22（9）：87-95.
- 付豪，万鹏*，施家伟，杨万能。基于机器视觉的玉米幼苗叶面积检测装置设计及试验。华中农业大学学报，2020，39（1）：161-170..
- 王康，梁秀英*，周风燃，陈欢，杨万能。基于磁导引的履带式小车作物图像自动采集系统设计与试验。华中农业大学学报，2020，39（2）：141-149..
- Weizhi Qi, Lei Yao*, Yunchao Jiang, Na Huang, Heng Guo, Jian Rong, Hui Feng, Wanneng Yang and Lei Xi*. Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method. Commun. Comput. Phys. 2020, 28: 679-690. doi: 10.4208/cicp.OA-2017-0248.
