芮照钰，男，山东济南人，博士毕业于中国农业大学信息与电气工程学院，农业电气化与自动化专业，主要研究方向为农业机器人、作物表型、智能农机装备。近年来发表论文10余篇，以第一作者发表6篇，其中SCI一区TOP论文4篇，授权发明专利2项，参与国家自然科学基金、国家重点研发计划等项目。担任Smart Agricultural Technology（IF=7.1）期刊副主编，斯普林格·自然旗下Smart Agriculture系列丛书主编，Computers and Electronics in Agriculture、Information Processing in Agriculture等SCI一区TOP期刊审稿人。曾获研究生国家奖学金、昇腾AI创新大赛铜奖、首届智能协作机器人场景创新大赛三等奖等荣誉。

l 学习经历

2022.09-2026.07，中国农业大学，农业电气化与自动化，工学博士

2019.09-2022.06，新疆农业大学，农业工程，工学硕士

2015.09-2019.06，青岛农业大学，农业机械化及其自动化，工学学士

l 工作经历

2026.10至今，山东农业大学，机械与电子工程学院，电气工程系，讲师

l 研究方向

（1）采摘机器人

（2）智能农机装备

（3）作物表型

l 科研项目

（1）国家自然科学基金“在枝苹果表面最优吸附区域和位姿原位检测方法与吸盘自适应调整策略研究”，参与人

（1）国家重点研发计划“苹果收获与田间分级一体机关键技术开发与示范应用”，参与人

l 代表性论文

[1] Rui, Z., Zhang, Z*., Zhang, M., Azizi, A., Igathinathane, C., Cen, H., Vougioukas, S., Li, H., Zhang, J., Jiang, Y., Jiao, X., Wang, M., Ampatzidis, Y., Oladele, O.I., Ghasemi-Varnamkhasti, M., Radi, R., 2024. High-throughput proximal ground crop phenotyping systems – A comprehensive review. Computers and Electronics in Agriculture.（一作发表）；中科院一区Top，IF=10.3. 被引94次.

[2] Rui, Z., Zhang, Z*., Hao, C., Igathinathane, C., Azizi, A., Wu, X., Zhang, M., Abid, F., Javidan, S.M., 2025. Development and field evaluation of a straddle-frame honeysuckle harvesting robot. Biosystems Engineering. （一作发表）；中科院二区Top，IF=7.8.

[3] Rui, Z., Zhang, Z*., Hao, C., Jia, Y., Ye, Z., Hussain, S., Abdelhamid, M.A., Igathinathane, C., Ampatzidis, Y., 2026. Advancement and field evaluation of a honeysuckle harvesting robot with integrated clamping and air-suction mechanisms. Computers and Electronics in Agriculture.（一作发表）；中科院一区Top，IF=10.3.

[4] Rui, Z., Zhang, Z*., Jia, Y., He, J., Zhang, J., Abdelhamid, M.A., Mngomezulu, S., Oladele, O.I., Mustafa, N.S., Salama, D.S., Sanaeifar, A., 2026. An enhanced you only look once model for honeysuckle flower maturity, picking point, and orientation detection. Engineering Applications of Artificial Intelligence.（一作发表）；中科院一区Top，IF=9.0.

[5] Rui, Z., Zhang, Z*., Mhamed, M., Shi, M., Ampatzidis, Y., Saha, C.K., Mustafa, N.S., Zhang, M., Li, M., 2026. Leveraging agricultural mechanization for achieving sustainable development goals. Agriculture Communications.（一作发表）；IF=11.9.

[6] Rui, Z., Zhang, Z*., Jia, Y., Zhang, M., Li, M., Wang, R., 2025.Design and field evaluation of a honeysuckle selective picking robot. IFAC-Papers OnLine（一作发表）；EI收录.

[7] 张佳喜,芮照钰,蔡佳麟,王毅超,叶尔波拉提·铁木尔,郜周明.(2021). 前置式皮带夹持输送棉秆起拔机设计与试验.农业机械学报. EI收录.

[8] Azizi, A., Zhang, Z*., Rui, Z., Li, Y., Igathinathane, C., Flores, P., Mathew, J., Pourreza, A., Han, X., Zhang, M., 2024. Comprehensive wheat lodging detection after initial lodging using UAV RGB images. Expert Systems with Applications. 中科院一区Top，IF=9.4.

[9] Hussain, S., Rui, Z., He, J., Zhang, Z*., Mhamed, M., Faheem, M., Javidan, S.M., Farid, M.U., Saeed, A., Abdelhamid, M.A., 2026. The speed–precision paradox in seeding technology: a systemlevel review of regime transitions, validation gaps, and energy trade-offs. Computers and Electronics in Agriculture. 中科院一区Top，IF=10.3. 

l 授权专利

[1] 张昭, 芮照钰, 陈泰来, 宋立鹏, 张涛, 武墨广, 赫运霞. 一种轮距、高度可调的田间金银花自动采摘机器人. CN202410516539.6. 发明专利.

[2] 张昭, 刘晓航, 芮照钰, 余江帆, 孙学海, 袁栋栋, 李民赞. 一种可扩张式苹果采摘装置及其采摘方法. CN202211671225.0. 发明专利.

[3] 张佳喜, 芮照钰, 郜周明. 皮带夹持式棉秆拔取装置. CN202022342987.9. 实用新型专利.

[4] 张佳喜, 芮照钰, 蔡佳麟, 王毅超, 郭刚, 邢春晓, 叶尔波拉提, 郜周明, 黄涛. 棉秆拔取力学参数性能测定移动小车. CN201921646011.1. 实用新型专利.

[5] 张佳喜, 芮照钰, 王毅超, 蔡佳麟, 王向阳, 叶尔布拉提, 黄小娜, 亚森江, 杨双平, 蔡勇. 可移动卧式残膜打包装置. CN202022121715.6. 实用新型专利.

l 出版专著章节

[1] Rui, Z., Zhang, Z*., 2024. Infield honeysuckle detection based on improved YOLOv5s under natural lighting, in: Yun, Y., Sheng, W., Zhang, Z. (Eds.), Advanced Sensing and Robotics Technologies in Smart Agriculture. Springer Nature, Singapore, pp. 133–154.

[2] Rui, Z., Zhang, Z*., Chen, T., 2024. A review of field plant phenotyping platform, sensing and navigation technology, in: Zhang, Zhao, Jiang, Y., Wen, C., Men, S., Zhang, Y. (Eds.), Transforming Technologies in Smart Agriculture: New Applications During the Past Decade. Springer Nature, Singapore, pp. 1–46.

[3] Wang, J., Rui, Z., He, J., Zhang, Z*., 2026. Review of the Development Status of Flower-Type Traditional Chinese Medicinal Material Harvesting Robots, in: Kong, Z., Li, M., Wang, Y., Zhang, Z. (Eds.), Smart and Green Production Technologies for Traditional Chinese Medicinal Materials: State-of-the-Art Innovative Techniques. Springer Nature, Singapore, pp. 369–388.

[4]. He, J., Rui, Z., Wang, J., Zhang, Z*., 2026. A New Honeysuckle Recognition Method Based on Improved YOLOv11, in: Kong, Z., Li, M., Wang, Y., Zhang, Z. (Eds.), Smart and Green Production Technologies for Traditional Chinese Medicinal Materials: State-of-the-Art Innovative Techniques. Springer Nature, Singapore, pp. 351–367.

l 联系方式

办公地址：山东农业大学岱宗校区学实楼502室

邮箱地址：1040160789@qq.com; zhaoyurui@sdau.edu.cn

联系地址：山东省泰安市泰山区岱宗大街61号，271018