Precision Livestock Farming · Computer Vision · Agricultural AI

Xingshi Xu
许兴时

西北农林科技大学农业电气化与自动化工学博士研究生，CSC 资助鲁汶大学 M3-BIORES 实验室联培博士，现于赫尔辛基大学边缘计算实验室开展联培研究。研究聚焦畜禽个体识别、多摄像头追踪、跨模态视觉感知、非接触式动物监测与参数高效学习。

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第一作者代表论文

[1] Xu, X., Deng, H., Wang, Y., et al. (2024) Boosting cattle face recognition under uncontrolled scenes by embedding enhancement and optimization, Applied Soft Computing Journal. 164: 111951.
(JCR Q1, IF 7.8, Cited by 45)

Keywords: cattle face recognition; embedding enhancement; uncontrolled scenes

[2] Xu, X., Yang, G., Wang, Y., et al. (2024) Plant leaf disease identification by parameter-efficient Transformer with Adapter. Engineering Applications of Artificial Intelligence, 138, 109466.
(JCR Q1, IF 9.0, Cited by 24)

Keywords: adapter; parameter-efficient training; plant leaf disease

[3] Xu, X., Wang, Y., Shang, Y., et al. (2025) Few-shot cow identification via meta-learning. Information Processing in Agriculture, 12: 80-90.
(JCR Q1, IF 8.9, Cited by 30, ESI highly cited)

Keywords: few-shot learning; meta-learning; cow identification

[4] Xu, X., Deng, H., Shang, Y., et al. (2025) Multi-camera multi-cow tracking under non-overhead views. Expert Systems with Applications. 291: 128519.
(JCR Q1, IF 9.4, Cited by 14)

Keywords: multi-camera tracking; tracklet association; non-overhead views

[5] Xu, X., Song, H., Pan, H., et al. (2025) Round-the-clock accurate sheep face recognition via frequency enhancement and cross-modal embedding generation. Computers and Electronics in Agriculture. 239: 110918.
(JCR Q1, IF 10.3, Cited by 13)

Keywords: sheep face recognition; cross-modal embedding; frequency enhancement

[6] Xu, X., Xiong, B. H., Liu, D., Norton, T., Song, H. B. (2026) Non-contact Technologies for Cattle Monitoring: Advances and Challenges towards Precision Livestock Farming. Computers and Electronics in Agriculture. 248: 111785.
(JCR Q1, IF 10.3, Cited by 6)

Keywords: non-contact sensing; cattle monitoring; precision livestock farming

[7] Xu, X., Xiong, B. H., Deng, H., Liu, D., Norton, T., Song, H. B. (2026) Fusion of keypoint detection and posture-aware correction for body measurement of dairy cattle. Computers and Electronics in Agriculture. 251: 112047.
(JCR Q1, IF 10.3, Cited by 1)

Keywords: dairy cattle body measurement; keypoint detection; posture-aware correction

合作论文

E-YOLO: Recognition of estrus cow based on improved YOLOv8n model

Z. Wang, Z. Hua, Y. Wen, S. Zhang, X. Xu, H. Song

Expert Systems with Applications 238, 122212, 2024

Cited 155

Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments

Y. Shang, X. Xu, Y. Jiao, Z. Wang, Z. Hua, H. Song

Computers and Electronics in Agriculture 207, 107765, 2023

Cited 116

Automated measurement of dairy cows body size via 3D point cloud data analysis

G. Yang, X. Xu, L. Song, Q. Zhang, Y. Duan, H. Song

Computers and Electronics in Agriculture 200, 107218, 2022

Cited 84

ShuffleNet-Triplet: A lightweight re-identification network for dairy cows in natural scenes

Y. Wang, X. Xu, Z. Wang, R. Li, Z. Hua, H. Song

Computers and Electronics in Agriculture 205, 107632, 2023

Cited 61

Extracting cow point clouds from multi-view RGB images with an improved YOLACT++ instance segmentation

G. Yang, R. Li, S. Zhang, Y. Wen, X. Xu, H. Song

Expert Systems with Applications 230, 120730, 2023

Cited 39

Fusion of RetinaFace and Improved FaceNet for individual cow identification in natural scenes

L. Yang, X. Xu, J. Zhao, H. Song

Information Processing in Agriculture 11(4), 512-523, 2024

Cited 36

Automated measurement of beef cattle body size via key point detection and monocular depth estimation

R. Li, Y. Wen, S. Zhang, X. Xu, B. Ma, H. Song

Expert Systems with Applications 244, 123042, 2024

Cited 48

An effective PoseC3D model for typical action recognition of dairy cows based on skeleton features

Z. Hua, Z. Wang, X. Xu, X. Kong, H. Song

Computers and Electronics in Agriculture 212, 108152, 2023

Cited 34

Lightweight recognition for the oestrus behavior of dairy cows combining YOLO v5n and channel pruning

Z. Wang, X. Xu, Z. Hua, Y. Shang, Y. Duan, H. Song

Transactions of the Chinese Society of Agricultural Engineering 38(23), 130-140, 2022

Cited 21

Research progress and technology trend of intelligent monitoring of dairy cow motion behavior

Z. Wang, H. Song, Y. Wang, Z. Hua, R. Li, X. Xu

Smart Agriculture, 2022

Cited 14

Fusion of CREStereo and MobileViT-Pose for rapid measurement of cattle body size

H. Deng, G. Yang, X. Xu, Z. Hua, J. Liu, H. Song

Computers and Electronics in Agriculture 232, 110103, 2025

Cited 19

Detection and tracking of oestrus dairy cows based on improved YOLOv8n and TransT models

Z. Wang, H. Deng, S. Zhang, X. Xu, Y. Wen, H. Song

Biosystems Engineering 252, 61-76, 2025

Cited 20

Adaptive group sample with central momentum contrast loss for unsupervised individual identification of cows in changeable conditions

Y. Wang, X. Xu, S. Zhang, Y. Wen, L. Pu, Y. Zhao, H. Song

Applied Soft Computing 167, 112340, 2024

Cited 9

Dairy cow body size measurement method based on binocular stereo matching and improved YOLOv8n-Pose keypoint detection

H. Deng, X. Xu, Y. Wang, S. Zhang, H. Song

Journal of South China Agricultural University 45(5), 802-811, 2024

Cited 3

Research progress of intelligent monitoring technology for large-scale dairy cows based on video analysis

H. Song, Y. Wang, H. Deng, X. Xu, Y. Wen, S. Zhang

Journal of South China Agricultural University 45(5), 649-660, 2024

Cited 4

Light-Inflorescence-Detection: A lightweight method for apple inflorescence detection in natural environments

Y. Shang, M. Cai, X. Xu, M. Geng, M. He, B. Jiang, H. Song

Information Processing in Agriculture, 2026

Cited 1

近期动态

2026年08月

央视 CCTV-10 科教频道《我们的大学》拍摄上映

2026年07月

受校领导慰问

2026年06月

参加中国科协党校（科技人才学院）“领航计划”青年科技人才国情研修活动（湖南1班）

2026年05月

受邀参加主题为“AI for Science：Development and Governance”的中国科协举办的奇点科学会议

2026年04月

参加西农机械与电子工程学院建院80周年高质量发展大会

2026年03月

参加主题为“下一代智能农业机器人”的中国科协青托工程“领先行动”活动

2026年02月

参加主题为“大科学装置”的中国科协青托工程“领先行动”活动

教育与访问经历

PhD Candidate in Engineering · Northwest A&F University2024.09 至今，农业电气化与自动化，导师 Prof. Huaibo Song
Joint-training PhD researcher · University of Helsinki, Edge Computing Lab2026.09 至今，农学院与计算机学院，Edge Computing & AI in Agri.，导师 Prof. Xiang Su
Joint-training PhD researcher · KU Leuven, M3-BIORES Lab2025.10-2027.04，Precision Livestock Farming，导师 Prof. Tomas Norton
Master of Engineering · Northwest A&F University2022.09-2024.06，农业电气化与自动化，GPA 3.70/4.00，专业第 1
Bachelor of Engineering · Northwest A&F University2018.09-2022.06，机械设计制造及其自动化，GPA 3.64/4.00，专业前 5%

项目经历

参与 · 国家重点研发计划 · 2024YFD1300600牛羊智能饲喂与环境调控技术集成应用示范，2024.12-2027.11。
参与 · 国家重点研发计划 · 2023YFD1301801畜禽养殖智能化生产管理技术与装备研发，2023.12-2026.11。
参与 · 国家自然科学基金 · 32472964奶牛爬跨行为跨时空发生机制及发情状态表征模型，2025.01-2028.12。
参与 · 国家自然科学基金 · 32272931奶牛行为识别与健康状态预测模型，2023.01-2026.12。
参与 · 陕西省创新能力支撑计划 · 2022QFY11-02智能牧场奶牛健康监测系统与智能装备。
参与 · 陕西省重点产业创新链 · 2024NC-ZDCYL-05-12适度规模滩羊智能饲喂关键装备与控制系统研发。
参与 · 宁夏回族自治区重点研发计划 · 2024BBF02029秦川肉牛个体识别与非接触表型测量关键技术研究与示范。
参与 · 陕西省农业关键核心技术项目 · 2023NYGG005肉牛羊遗传改良与品质提升技术集成应用。
参与 · 横向项目 · K4050722003机器视觉奶牛个体识别，2022.09-2023.05。
参与 · 横向项目 · K4050722062基于计算机视觉的牛只质押监管技术，2022.12-2023.12。

主要荣誉

中国科协青年科技人才培育工程博士生专项计划Doctoral Student Program of the Youth S&T Talent Cultivation Project。
中国教育部国家奖学金Ministry of Education of China。
《人民日报》、人民网《人民日报》国家奖学金获奖学生代表每年从全国获奖研究生中选取 100 名。
中国教育部全国高校“百名研究生党员标兵”Ministry of Education of China，每年从全国研究生党员中遴选 100 名。
陕西省教育厅陕西省优秀学生干部Education Department of Shaanxi Provincial Government。
校长奖学金与一等学业奖学金NWAFU President's Scholarship；University First-Class Scholarship，连续 7 次。

学术服务

Assistant Editor（助理编辑） Research (IF 12.9; eISSN 2639-5274) International Journal of Agricultural and Biological Engineering (IJABE) (IF 3.1; ISSN 1934-6344 / eISSN 1934-6352) Science & Technology Review / 科技导报 (ISSN 1000-7857; CN 11-1421/N)
Peer Reviewer（审稿人）Artificial Intelligence in Agriculture (AIA); Expert Systems with Applications (ESWA); Engineering Applications of Artificial Intelligence (EAAI); Applied Soft Computing (ASOC); Biosystems Engineering (BE); Information Processing in Agriculture (INPA); Computers and Electronics in Agriculture (COMPAG); Pattern Recognition (PR); Ecological Informatics (ECOINF); IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM); IEEE Transactions on AgriFood Electronics (TAFE); Neurocomputing (NEUCOM).
Journal Reviews累计完成 100+ 次学术期刊审稿贡献。

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