Name：

Chen Chen

Position and Technical Title：

Associate Director of Research, Associate Professor, graduate Supervisor.

Research Areas：

Computer vision; deep learning; ethology; precision livestock farming; agricultural engineering.

Graduate Admission Professions：

Agricultural electrification and automation

E-mail：

cchen@ujs.edu.cn

Corresponding Address：

School of Low-Altitude Technology, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, China.

Education and Work Experience

201409-202012, School of Electrical and Information Engineering, Jiangsu University, Control Science and Engineering, Doctor;

201810-202010, Division of M3-BIORES, KU Leuven (BELGIUM), Precision Livestock Farming, Joint training PhD (China Scholarship Council);

202102-202607, School of Electrical and Information Engineering, Jiangsu University, Agricultural electrification and automation, lecture;

202607-present，School of Low-Altitude Technology, Jiangsu University, Agricultural electrification and automation, Associate Professor.

Academic and Social Part-time

2017-present, reviewer for authoritative agricultural engineering journals such as Computers and Electronics in Agriculture, Biosystems Engineering, Neurocomputing, and Expert Systems with Applications.

Teaching Courses              

Undergraduate courses: Electrical and Electronic Engineering A (II), Agricultural Information Technology and Information Management System (bilingual);

Graduate courses: Agricultural Informatization Technology.

Academic Research Topic

Presided over one youth project of the National Natural Science Foundation of China (2022-2024), One publicly-funded graduate program for building high-level universities in the country;

Participated in 2 general projects of the National Natural Science Foundation of China, Two projects from the United States Department of Agriculture (USDA), One project from the Austrian National Center for Feed and Food Quality, Safety, and Innovation Capability.

Academic Publications

Chen, C., Liu, R., Zhu, W., & Norton, T. (2026). Aggression recognition for individual pigs based on YOLOv8 and DCTM-UniformerV2. Biosystems Engineering, 261, 104345.

Chen, C., Zhu, W., & Norton, T. (2021). Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning. Computers and Electronics in Agriculture, 187, 106255.

Chen, C., Zhu, W., Steibel, J., Siegford, J., Wurtz, K., Han, J., & Norton, T. (2020). Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory. Computers and Electronics in Agriculture, 169(2), 105166.

Chen, C., Zhu, W., Oczak, M., Maschat, K., Baumgartner, J., Larsen, M.L.V., & Norton, T. (2020). A computer vision approach for recognition of the engagement of pigs with different enrichment objects. Computers and Electronics in Agriculture, 175, 105580.

Chen, C., Zhu, W., Steibel, J., Siegford, J., Han, J., & Norton, T. (2020). Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method. Computers and Electronics in Agriculture, 176(9), 105642.