师资队伍
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姓名:何永强                   职称:讲师

学科:农业工程

电话/传真:                    所在办公室:305

电子邮件:

通讯地址:山西省太谷区山西农业大学农业工程学院

邮政编码:030801

一、教育背景

2013.09-2017.06            湖北工业大学            机械设计制造及其自动化      本科

2017.09-2020.06            山西农业大学            农业机械化工程                    硕士

2020.09-2024.06            南京农业大学            农业机械化工程                    博士

二、工作经历

2024.09-至今 山西农业大学        讲师

三、承担课程


四、研究方向

农业智能化技术装备

五、科研项目


六、学术成果(论文、专著、专利等)

[1] Yongqiang He, Jun Zhou*, Jingwei Sun, Hongbo Jia, Gemechu Tamiru Tesfaye. Traveling control method adapted to different paddy ground conditions with feedforward compensation for crawler combine harvester based on online tracking error prediction. Computers and Electronics in Agriculture, 2024, 220: 108853. DOI:10.1016/j.compag.2024.108853.

[2] Yongqiang He, Jun Zhou*, Jingwei Sun, Hongbo Jia, Zian Liang, Emmanuel Awuah. An adaptive control system for path tracking of crawler combine harvester based on paddy ground conditions identification. Computers and Electronics in Agriculture, 2023, 210: 107948. DOI: 10.1016/j.compag.2023.107948.

[3]何永强,周俊*,袁立存,郑彭元,梁子安.基于履带式联合收获机转向特性的局部跟踪路径规划.农业机械学报, 2022, 53(11): 13-21.DOI: 10.6041/j.issn.1000-1298.2022.11.002.

[4]周俊,何永强.农业机械导航路径规划研究进展.农业机械学报, 2021, 52(09): 1-14.DOI: 10.6041/j.issn.1000-1298.2021.09.001.

[5] Jingwei Sun, Jun Zhou*, Yongqiang He, Hongbo Jia, Zian Liang. RL-DeepLabv3+: A lightweight rice lodging semantic segmentation model for unmanned rice harvester. Computers and Electronics in Agriculture, 2023, 209: 107823. DOI: 10.1016/j.compag.2023.107823.

[6] Jingwei Sun, Jun Zhou*, Yongqiang He, Hongbo Jia, Luke Toroitich Rottok, Detection of rice panicle density for unmanned harvesters via RP-YOLO. Computers and Electronics in Agriculture, 2024, 226, 109371. DOI: 10.1016/j.compag.2024.109371.

[7] Jingwei Sun, Jun Zhou*, Yundong Wang, Yongqiang He, Hongbo Jia. A cutting width measurement method for the unmanned rice harvester based on RGB-D images. Measurement, 2024, 224: 113777. DOI: 10.1016/j.measurement.2023.113777.

七、荣誉奖励


八、学术兼职


九、成果展示(图文形式)