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张梦杰

工学院

个人资料

  • 部门: 工学院
  • 性别:
  • 民族: 汉族
  • 专业技术职务: 副教授
  • 行政职务:
  • 主要研究方向: 智慧畜牧、多模态传感器检测与信号处理、人工智能交叉学科
  • 毕业院校: 中国农业大学
  • 学位: 博士
  • 联系电话:
  • 电子邮箱: zhm@cau.edu.cn
  • 办公地址: 工学院
  • 通讯地址: 北京市海淀区清华东路17号中国农业大学东校区
  • 邮编: 100083
  • 传真:

专家类别

  • 学术学位导师类型:
  • 专业学位研究生导师类型:
  • 从事学科1:
  • 从事学科2:
  • 从事专业1:
  • 从事专业2:
  • 研究方向1:
  • 研究方向2:
  • 从事专业学位领域名称:

教育经历

  • 2019.09.01-2022.06.17,工学博士学位,中国农业大学,机械电子工程
  • 2017.09.01-2019.06.19,工程硕士专业学位,中国农业大学,机械工程

个人简介

汉族,中共党员,副教授,优秀人才岗位,2115人才培育发展支持计划”青年新星。在智慧畜牧、多模态传感器检测与信号处理、人工智能交叉应用前沿领域开展研究,促进了学科交叉融合,以第一/通讯作者发表SCI论文24,包括中科院分区TOP期刊207IF大于10。以第一发明人授权发明专利6,获得中国发明协会创新创业奖1主持科研项目与人才项目6项:国家博士后创新人才支持计划(“博新计划”)、国家自然科学基金青年科学基金项目、中国博士后科学基金面上项目、中国农业大学“2115人才培育发展支持计划”、“拼多多-中国农业大学”研究基金、畜禽营养与饲养全国重点实验室开放课题。以项目骨干或主要成员参与在研的国家重点研发计划2项、智力援疆创新拓展人才计划—中国农业大学肉羊产业高质量发展研究“小组团”援疆团队示范点项目1项、内蒙古自然科学基金重点项目1项等。

教学科研概况

社会职务

活动动态

研究领域

多模态传感器检测与信号处理;可穿戴传感技术;可吞入胶囊传感器;计算机视觉技术;智慧畜牧;畜牧业碳排放效率评估;人工智能交叉理论

开授课程

本科生课程:近十年课程数据
  • 1、智能传感与信号处理,2025-2026,第二学期,星期一星期四,东校区
  • 2、智能传感与信号处理,2025-2026,第一学期,星期一星期三,东校区

科研项目

纵向项目
  • 1、2025.07.01-2027.06.30,企事业单位委托项目,智力援疆创新拓展人才计划项目:中国农业大学肉羊高质量发展研究“小组团”援疆团队示范点
  • 2、2024.07.29-2026.12.31,地市厅局(含县)项目,基于柔性可穿戴生物信号检测的放牧羊健康状态智能评估建模
  • 3、2024.07.10-2026.07.01,国际合作项目,面向易腐食品全生命周期质量管理的柔性物联网监测和区块链追溯技术
  • 4、2024.04.07-2028.11.30,国家重点研发计划,特色羊肉特征品质分析评价技术与标准研究
  • 5、2023.09.07-2026.12.31,国家自然科学基金项目,面向肉羊生命特征精准辨识的可穿戴柔性无创多模态传感信号检测方法研究
  • 6、2023.03.15-2027.11.30,国家重点研发计划,湖羊新品系培育及良种扩繁
  • 7、2022.11.25-2024.12.31,教育部项目,面向肉羊健康精准评估的可穿戴柔性共形生物信号检测误差抑制方法
  • 8、2022.08.01-2024.07.31,教育部项目,面向肉羊健康精准评估的可穿戴无创生物信号动态检测误差抑制方法
横向项目
  • 1、2024.10.12-2025.12.31,无依托项目,基于深度学习多模态智能感知的水果自主识别采摘方法
  • 2、2024.04.08-2028.04.08,企业单位委托科技项目,了了(重庆)农业科技有限公司教授工作站
  • 3、2024.03.01-2025.02.28,无依托项目,柔性无线数能一体的冷藏水果微环境动态检测与精准控制
  • 4、2022.07.22-2023.12.31,国际合作项目,人工智能在中国农业和食品领域应用

论文

论文

1.Zhang, M., Wang, X., Feng, H., Huang, Q., Xiao, X., & Zhang, X. (2021). Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring. Journal of Cleaner Production, 312, 127712. (第一作者,SCI收录,IF=10.7,一区TOP)

2.Zhang, M., Zhu, Y., Wu, J., Zhao, Q., Zhang, X.*, Luo, H.* (2024) Improved composite deep learning and multi-scale signal features fusion enable intelligent and precise behaviors recognition of fattening Hu sheep. Computers and Electronics in Agriculture, 227, 109635. (第一作者,SCI收录,IF=9.3,一区TOP)

3.Zhang, M., Hong, D., Wu, J., Zhu, Y., Zhao, Q., Zhang, X.*, Luo, H.* (2025) Sheep-YOLO: improved and lightweight YOLOv8n for precise and intelligent recognition of fattening lambsbehaviors and vitality statuses.Computers and Electronics in Agriculture, 236, 110413. (第一作者,SCI收录,IF=9.3,一区TOP)

4.Zhang, M., Feng, H., Tomka, J., Polovka, M., Ma, R., & Zhang, X. (2021). Predicting of mutton sheep stress coupled with multi-environment sensing and supervised learning network in the transportation process. Computers and Electronics in Agriculture, 190, 106422. (第一作者,SCI收录,IF=9.3,一区TOP)

5.Zhang, M., Feng, H., Luo, H., Li, Z., & Zhang, X. (2020). Comfort and health evaluation of live mutton sheep during the transportation based on wearable multi-sensor system. Computers and Electronics in Agriculture, 176, 105632. (第一作者,SCI收录,IF=9.3,一区TOP)

6.Chen, S., Zhang, M.*, Hong, D., Zhao, Q., Ostojic, G., & Zhang, X. (2025). Portable instant microfluidic electrochemical sensor and supervised self-learning model enabled precise vitality status recognition of Hu sheep. Chemical Engineering Journal, 522, 167995. (通讯作者,SCI收录,IF=13.5,一区TOP)

7.Zhang, X., Jiang, D., Li, J., Zhao, Q., Zhang, M.* (2024). Carbon Emission Oriented Life Cycle Assessment and Optimization Strategy for Meat Supply Chain. Journal of Cleaner Production, 439, 140727. (通讯作者,SCI收录,IF=10.7,一区TOP)

8.Nsabiyeze, A., Ma, R., Li, J., Zhao, Q., Zhang, M.* (2024). Mitigating greenhouse gas emissions from sheep production system in China: An integrated approach of data envelopment analysis and life cycle assessment. Resources, Conservation and Recycling, 207, 107695. (通讯作者,SCI收录,IF=12.7,一区TOP)

9.Nsabiyeze, A., Ma, R., Li, J., Luo, H., Tomka, J., Zhao, Q., Zhang, M.* (2024). Tackling climate change in agriculture: A global evaluation of the effectiveness of carbon emission reduction policies. Journal of Cleaner Production, 468, 142973. (通讯作者,SCI收录,IF=10.7,一区TOP)

10.Jiang, D., Zhang, M.*, Li, J., Ma, R., Chen, K., Stankovski, S. (2025). Multi-model fusion for evaluating carbon emissions in China's provincial sheep production and developing precise reduction strategies. Journal of Cleaner Production, 525, 146542. (通讯作者,SCI收录,IF=10.7,一区TOP)

11.Yin, M., Ma, R., Huang, W., Chi, F., Zhao, Q., Zhang, M.*, (2025). High-performance flexible wearable electronics for sheep physiological information wireless sensing and health assessment.Computers and Electronics in Agriculture, 231, 109917. (通讯作者,SCI收录,IF=9.3,一区TOP)

12.Jiang, D., Zhang, M.*, Yu, J., Zhao, Q., Bakaric, M. B., Chen, K., Zhang, X. (2025). Ai-driven advanced flexible pressure sensor arrays for smart animal husbandry: Response characteristics, optimization strategies, innovative applications. Computers and Electronics in Agriculture, 239, 110988. (通讯作者,SCI收录,IF=9.3,一区TOP)

13.Yin, M., Ma, R., Luo, H., Li, J., Zhao, Q., Zhang, M.*, (2023). Non-contact sensing technology enables precision livestock farming in smart farms. Computers and Electronics in Agriculture, 212, 108171. (通讯作者,SCI收录,IF=9.3,一区TOP)

14.Nsabiyeze, A., Zhang, M.*, Li, J., Zhao, Q. & Zhang, X.* (2025). Precision livestock farming for climate-resilient livestock management: a review of real-time monitoring and decision support systems. Journal of Cleaner Production, 468, 142973. (共同一作/通讯,SCI收录,IF=10.7,一区TOP)

15.Kong, C., Ma, R., Guo, X., Zhang, L., Song, C., Zhang, M.* & Hu, J.*(2024). A non-implantable flexible stretchable sensor for detecting respiratory rhythms in animals. Computers and Electronics in Agriculture, 224, 109183. (共同通讯作者,SCI收录,IF=9.3,一区TOP)

16.Huang, W., Xia, J., Wang, X., Zhao, Q., Zhang, M.*, & Zhang, X.* (2023). Improvement of non-destructive detection of lamb freshness based on dual-parameter flexible temperature-impedance sensor. Food Control, 153, 109963.(共同通讯作者,SCI收录,IF=6.1,一区TOP)

17.Wang L.1, Zhang M.1, Li Y., Xia J., & Ma R. (2021). Wearable multi-sensor enabled decision support system for environmental comfort evaluation of mutton sheep farming. Computers and Electronics in Agriculture. 187, 106302. (共同第一作者,SCI收录,IF=9.3,一区TOP)

18.Xia, J., Huang, W., Mayer-baranyi, K., Zhang, M.*, & Zhang, X* (2023). Conformal Temperature/impedance Sensing Patch Based on Graphene Materials for Non-destructive Detection of Fish Freshness. ACS Applied Materials & Interfaces, 15, 4509545105.(共同通讯作者,SCI收录,IF=8.5,二区TOP)

19.Xia, J., Huang, W., Wang, X., Zhu, Z., Zhang, M.*, & Zhang, X.* (2023). Flexible sensing technology for fruit quality control in the cold chain: Characterization, application, and improvement. Food Control, 154, 109976.(共同通讯作者,SCI收录,IF=6.1,一区TOP)

20.Fu, Y., Zhang, M., Mao, D., Wang, D., Luo, H. *, Zhang, X. *(2025). Improved feed-forward neural network and multidimensional motion data for accurate recognition of sheep behaviour at multiple fattening stages. Biosystems Engineering, 257, 104218.(共同第一作者,SCI收录,IF=5.9,二区TOP)

21.Zhu, Y., Zhang, W., Zhang, Y., Zhang, X., & Zhang, M.* (2025). Cross-modal data fusion and deep learning techniques enabled non-destructive fish vitality recognition during cryogenic waterless live transport. Biosystems Engineering, 257, 104200. (共同通讯作者,SCI收录,IF=5.9,二区TOP)

22.Xia, J., Huang, W., Feng, H., He, Y., Zhang, M.*, & Zhang, X.* (2023). Wearable electronic system for non-destructive assessment of stress level during cryogenic waterless live transportation. Sensors and Actuators A: Physical, 361, 114589. (共同通讯作者,SCI收录,IF=4.8,三区)

23.Zhang, M., Wang, L., Feng, H., Zhang, L., Zhang, X., & Li, J. (2020). Modeling Method for Cost and Carbon Emission of Sheep Transportation Based on Path Optimization. Sustainability, 12(3), 835. (第一作者,SCI收录,IF=3.6,三区)

24.Liu, P., Zhang, L., Li, Y., Feng, H., Zhang, X., & Zhang, M.* (2023). rGO-PDMS Flexible Sensors Enabled Survival Decision System for Live Oysters. Sensors, 23(3), 1308.(共同通讯作者,SCI收录,IF=3.7,三区)

25.Wang, X. 1, Zhang, M. 1, Zhang, L., Xu, J., Xiao, X., & Zhang, X. (2022). Inkjet-printed flexible sensors: from function materials, manufacture process, and applications perspective. Materials Today Communications, 103263. (共同第一作者,SCI收录,IF= 4.3,三区)

26.Yin, M., Zhang, M., Deng H., Ma, R.*, & Hu, J.* (2022). Facile and rapid fabrication of wearable sensing patch via laser-based reduction graphene oxide for temperature and respiration tracking. Sensors and Actuators A: Physical, 393, 116792. (第二作者,SCI收录,IF=4.8,三区)

27.张小栓,张梦杰,王磊,罗海玲,李军.畜牧养殖穿戴式信息监测技术研究现状与发展分析[J].农业机械学报,2019,50(11):1-14. (EI收录)

28.马瑞芹,张梦杰,于瑞航,崔衍,王想.可穿戴生物感知的肉羊运输应激特征参数提取与建模[J].农业机械学报,2021,52(10):291-299416. (EI收录)

29.Feng, H., Zhang, M., Zhang, L., Chen, B., & Zhang, X. (2021). Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation. Aquaculture, 544, 737128. (SCI收录,IF=4.4,一区TOP)

30.Feng, H., Zhang, M., Liu, P., Liu, Y., & Zhang, X. (2020). Evaluation of IoT-Enabled Monitoring and Electronic Nose Spoilage Detection for Salmon Freshness During Cold Storage. Foods, 9(11), 1579. (SCI收录,IF=5.6,二区)

31.Feng, H., Zhang, M., Gecevska, V., Chen, B., Saeed, R., & Zhang, X. (2022). Modeling and evaluation of quality monitoring based on wireless sensor and blockchain technology for live fish waterless transportation. Computers and Electronics in Agriculture, 193, 106642. (SCI收录,IF=9.3,一区TOP)

32.Cui, Y., Zhang, M., Li, J., Luo, H., Zhang, X., & Fu, Z. (2019). WSMS: Wearable stress monitoring system based on IoT multi-sensor platform for living sheep transportation. Electronics, 8(4), 441.(SCI收录,IF=2.6,三区)

33.Xie, X., Zhang, M., Luo, H.* (2024). Regulation of metabolism by circadian rhythms Support from time-restricted eating, intestinal microbiota and omics analysis. Life Sciences, 351, 122814.(SCI收录,IF=5.4,二区TOP)


科技成果

软件著作
  • 1、基于深度学习与多模态数据的羊只活力状态识别系统V1.0,软件著作权登记
  • 2、基于轻量化深度学习的羔羊行为与活力状态识别系统V1.0,软件著作权登记
  • 3、基于多模态深度融合模型的羊只“行为-活力-健康”耦合识别系统V1.0,软件著作权登记
  • 4、肉羊养殖精准减排多模型融合评价与优化系统,软件著作权登记
  • 5、基于微流控电化学传感器的羊只活力识别系统V1.0,软件著作权登记
专利
  • 1、一种基于柔性压电传感器的初生羔羊健康状态识别方法及系统,2025,202510884834.1
  • 2、一种柔性压电传感器及其信号检测方法,2024,202411913449.7
  • 3、一种基于多源特征融合的羔羊活力辨识方法及系统,2024,202411428659.7
  • 4、一种羊只行为特征识别方法及系统,2024,202410398556.4

荣誉及奖励

招生信息

往期招生
报考意向

团队展示

专业技术职务: 副教授

行政职务:

主要研究方向: 智慧畜牧、多模态传感器检测与信号处理、人工智能交叉学科

学位: 博士

联系电话:

电子邮箱: zhm@cau.edu.cn

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