宋鹏
硕士生导师
教师姓名：宋鹏
教师拼音名称：Song Peng
性别：男
职称：副教授
在职信息：在职
学历：博士研究生毕业
学位：工学博士学位
办公地点：作物表型平台
电子邮箱：
毕业院校：中国农业大学
所属院系：植物科学技术学院
所在单位：植物科学技术学院
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. Sun J, Ren Z, Cui J, Tang C, Luo T, Yang W*, Song P*. A high-throughput method for accurate extraction of intact rice panicle traits. Plant Phenomics 2024;6:Article 0213. https://doi.org/10.34133/ plantphenomics.0213.
- 2. Meng Yang, Chenglong Huang, ZhengdaLi, YangShao, JinzhanYuan, Wanneng Yang, Peng Song*. Autonomous navigation method based on RGB‐D camera for a crop phenotyping robot. J Field Robotics. 2024;1–13..
- 3. Ma, X., Wang, H., Wu, S., Han, B., Cui, D., Liu, J., Zhang, Q., Xia, X., Song, P., Tang, C., Geng, L., Yang, Y., Yan, S., Zhou, K. and Han, L.(2024) DeepCCR: large-scale genomics-based deep learning method for improving rice breeding. Plant Biotechnol. J., https://doi.org/10.1111/pbi.14384..
- 4. 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.
- 5. 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.
- 6. 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..
- 7. Zeng X F, Li Y Y, Li J, Pu Z, Zheng L and Song P*. Multi-sensor-based method for early detection of bacterial wilt of tobacco. Int J Precis Agric Aviat, 2023; 6(1): 33–43..
- 8. 胡松涛, 翟瑞芳, 王应华, 刘志, 朱剑忠, 任荷, 杨万能, 宋鹏. 基于多源数据的马铃薯植株表型参数提取[J]. 智慧农业(中英文), 2023, 5(1): 132-145. DOI： 10.12133/j.smartag.SA202302009.
- 9. 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..
- 10. 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..
