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Zheng Haikun, Ph.D. in Engineering, is a full-time faculty member at the School of Mechanical and Energy Engineering, Guangdong Ocean University. He earned his Ph.D. from the College of Engineering, South China Agricultural University. His primary research areas include computer vision detection technology, artificial intelligence applications, and smart agriculture and precision livestock farming. He has long been engaged in scientific and applied research focusing on automation and intelligent technology and equipment for production processes, the application of deep learning and neural network technology in interdisciplinary fields, and non-invasive measurement and detection methods for animal phenotypes and physiological states. He has published multiple SCI-indexed papers, including seven in CAS Zone 1 Top journals, and holds over twenty authorized invention patents and software copyrights.
As a state-sponsored joint Ph.D. candidate, he conducted visiting research at KU Leuven (Belgium) and has established long-term academic collaborations with scholars from institutions such as KU Leuven, RWTH Aachen University, and the University of Tennessee. He currently serves as a reviewer for academic journals including ¡°Computers and Electronics in Agriculture¡±, ¡°Agriculture¡±, ¡°Animals¡±, and ¡°Scientific Reports¡±. He is also appointed as an "Expert in Artificial Intelligence" by Shaanxi Yukong Intelligent Technology Co., Ltd. Under his guidance, students have won one national first prize and one provincial first prize in the RAICOM Robot Developer Competition.
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(1) Haikun Zheng, Cheng Fang, Tiemin Zhang*, Hongzhi Zhao, Jikang Yang, & Chuang Ma. Shank length and circumference measurement algorithm of breeder chickens based on extraction of regional key points[J]. Computers and Electronics in Agriculture, 2022, 197: 106989.£¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(2) Haikun Zheng, Chuang Ma, Dong Liu, Junduan Huang, Ruitian Chen, Cheng Fang, Jikang Yang, Daniel Berckmans, Tomas Norton*, & Tiemin Zhang*. Weight prediction method for individual live chickens based on single-view point cloud information. Computers and Electronics in Agriculture, 2025, 234, 110232.£¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(3) Haikun Zheng, Tiemin Zhang*, Cheng Fang, Jiayuan Zeng, & Xiuli Yang. Design and Implementation of Poultry Farming Information Management System Based on Cloud Database[J]. Animals, 2021, 11, 900.£¨ÖпÆÔº¶þÇø£¬£¬IF=3.231£©
(4) Haikun Zheng, Tiemin Zhang*, & Cheng Fang. Design of Environmental Monitoring and Management System for Small and Medium-sized Chicken Farm Based on Cloud[C]. Asian Conference on Precision Livestock Farming, Oct, 2020. 19-21, Beijing, China.£¨¹ú¼Ê¾Û»á¿ÚÍ·»ã±¨£¬£¬ÓÅÒìÂÛÎĽ±£©
(5) Cheng Fang, Haikun Zheng, Jikang Yang, Hongfeng Deng, Tiemin Zhang*. Study on poultry pose estimation based on multi-parts detection[J]. Animals, 2022, 12(10): 1322.£¨ÖпÆÔº¶þÇø£¬£¬IF=3.231£©
(6) Chuang Ma, Tiemin Zhang*, Haikun Zheng, Jikang Yang, Ruitian Chen, & Cheng Fang. Measurement method for live chicken shank length based on improved ResNet and fused multi-source information[J]. Computers and Electronics in Agriculture, 2024, 221: 108965. £¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(7) Cheng Fang, Tiemin Zhang*, Haikun Zheng, Junduan Huang, & Kaixuan Cuan. Pose estimation and behavior classification of broiler chickens based on deep neural networks[J]. Computers and Electronics in Agriculture, 2021, 180: 105863.£¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(8) Jikang Yang, Tiemin Zhang*, Cheng Fang, & Haikun Zheng. A defencing algorithm based on deep learning improves the detection accuracy of caged chickens[J]. Computers and Electronics in Agriculture, 2023, 204: 107501.£¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(9) Zhenlong Wu, Tiemin Zhang*, Cheng Fang, Jikang Yang, Chuang Ma, Haikun Zheng, & Hongzhi Zhao. Super-resolution fusion optimization for poultry detection: a multi-object chicken detection method[J]. Journal of Animal Science, 2023, 101: skad249.£¨ÖпÆÔº¶þÇø£¬£¬IF=3.3£©
(10) Jikang Yang, Tiemin Zhang*, Cheng Fang, Haikun Zheng, Chuang Ma, & Zhenlong Wu. A detection method for dead caged hens based on improved YOLOv7. Computers and Electronics in Agriculture, 2024, 226, 109388.£¨ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.3£©
(11) Cheng Fang, Xiaolin Zhuang, Haikun Zheng, Jikang Yang, & Tiemin Zhang*. The Posture Detection Method of Caged Chickens Based on Computer Vision[J]. Animals, 2024, 14(21), 3059. £¨ÖпÆÔº¶þÇø£¬£¬IF=3.231£¬£¬ESIÈÈÃÅÂÛÎÄ£©
(12) Shinan Zhang, Kailin Wang, Xu Li, Haikun Zheng*. Development and Application of a Full-Stack Unmanned Intelligent Inspection System for Dams [C]. ACF 2025. £¨Í¨Ñ¶×÷Õߣ¬£¬ÓÅÒìÂÛÎÄ£¬£¬EIÊÕ¼£©
(13) Cheng Fang, Jikang Yang, Tiemin Zhang, Haikun Zheng*, Hongwei Li, & Junduan Huang. CSLTSM-Net: A lightweight two-stream mixed neural network for chicken sound recognition[J]. Computers and Electronics in Agriculture, 2025, 234, 110232.£¨Í¨Ñ¶×÷Õߣ¬£¬ÖпÆÔºÒ»ÇøTop£¬£¬IF=8.9£©
(14) Peiyi Lin, Yuqi Guo, Shuoyu Wu, Shinan Zhang, Xuyang Li, Haikun Zheng*. Drone-Based Visual Anomaly Detection and Compensation Technology for Cable Deviation in Ropeway Systems [C]. IMRA 2025. £¨Í¨Ñ¶×÷Õߣ¬£¬EI ÊÕ¼£©
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