宋鹏
硕士生导师
教师姓名:宋鹏
教师拼音名称:Song Peng
电子邮箱:
所在单位:植物科学技术学院
学历:博士研究生毕业
办公地点:作物表型平台
性别:男
学位:工学博士学位
职称:副教授
在职信息:在职
毕业院校:中国农业大学
所属院系:植物科学技术学院
学科:计算机科学与技术其他专业 作物学其他专业 农业电气化与自动化
其他联系方式
邮箱:
论文成果
- 1. Song P1*, Li Z1, Yang M, Shao Y, Pu Z, Yang W and Zhai R*, (2023) Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera. Front. Plant Sci. 14:1097725. doi: 10.3389/fpls.2023.1097725.
- 2. Huang C, Zhang Z, Zhang X, Jiang L, Hua X, Ye J, Yang W, Song P*, Zhu L*. A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt. Plant Phenomics 2023;5:Article 0013. https://doi. org/10.34133/plantphenomics.0013.
- 3. Zhou Yao, Wenjing Zhang, Peng Song, Yuxue Hu, Jianxiao Liu*. DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences. Briefings in Bioinformatics, 2023, 1–14..
- 4. Peng Song1*, Keyi Chen1, Longfu Zhu, Meng Yang, Chao Ji, Ailing Xiao, Haoyang Jia, Jian Zhang, Wanneng Yang*. An improved cascade R-CNN and RGB-D camera-based method for dynamic cotton top bud recognition and localization in the field[J]. Computers and Electronics in Agriculture, 2022, 202:107442. https://doi.org/10.1016/j.compag.2022.107442..
- 5. Peng Song1, Jinglu Wang1, Xinyu Guo*, Wanneng Yang*, Chunjiang Zhao. High-throughput phenotyping: Breaking through the bottleneck in future crop breeding[J]. The Crop Journal, 9 (2021) 633–645..
- 6. Bin Luo, Cheng Wang, Xiaodong Wang, Han Zhang, Yanan Zhou , Wensen Wang*, Peng Song*. Changes in photosynthesis and chlorophyll fluorescence in two soybean (Glycine max) varieties under NaCl stress[J]. Int J Agric & Biol Eng, 2021; 14(3): 76–82..
- 7. 陈柯屹,朱龙付,宋鹏*,田晓敏,黄成龙,聂新辉,肖爱玲,何良荣. 融合动态机制的改进型Faster R-CNN田间棉花顶芽识别[J]. 农业工程学报,2021, 37(16):161-168..
- 8. 卢少志,杨蒙,杨万能,叶军立,李为坤,宋鹏*.田间作物表型检测平台设计与试验[J]. 华中农业大学学报,2021, 40(4): 209-218..
- 9. Ping Song*, Zhaoyi Wang, Peng Song, Xia Yue, Yuhe Bai, LongLong Feng. Evaluating the effect of aging process on the physicochemical characteristics of rice seeds by low field nuclear magnetic resonance and its imaging technique[J]. Journal of Cereal Science, 99 (2021) 103190..
- 10. 宋鹏,张晗,罗斌,侯佩臣,王成*.基于多相机成像的玉米果穗考种参数高通量自动提取方法[J]. 农业工程学报, 2018,34(14):181-187. .