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Zhenbo Li

College of Information and Electrical Engineering

About

  • Department: College of Information and Electrical Engineering
  • Gender: male
  • Nationality: China
  • Post: Professor
  • Duties: Vice President
  • Research Label: Engineering
  • Graduate School: Institute of Computing Technology, Chinese Academy
  • Degree: Doctor
  • Tel: 010-62738751
  • Email: lizb@cau.edu.cn
  • Office Location: CIEE / 761
  • Address: No 17 Qinghuadong Road,Haidian District, Beijing
  • PostCode: 100083
  • Fax: 010-62738751

Expert category

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  • Engaged in disciplines2:
  • Engaging in a profession1:
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Resume

Zhenbo Li, male, professor, doctoral supervisor and master's supervisor, vice dean of College of Information and Electrical Engineering. He has presided over 8 national research projects such as National Natural Science Foundation of China and National Key Research and Development Program, 8 provincial and ministerial level research projects. He has published more than 80 high-level papers in domestic and international academic journals and ICCV and other top academic conferences of CCF-A, obtained more than 40 national invention patents, more than 60 software copyrights, and won 4 provincial and ministerial science and technology awards. He has published one monograph, edited the monograph Human Motion Analysis and Tracking Technology, co-edited Introduction to Agricultural Internet of Things, Introduction to Agricultural Informatization, Research and Demonstration of Key Technologies for Rural Agricultural Informatization System Construction, China Rural Informatization Development Report 2010, Digital Image Understanding and Intelligent Technology - Based on MATLAB and VC++ Implementation, Internet+Agriculture, etc. In 2013, he won the Second Prize of Science and Technology of China Machinery Industry and Second Prize of China Agricultural Science and Technology. In 2015, he won the Second Prize of Science and Technology Progress of Jiangsu Province. In 2017, he won the First Prize of National Agricultural and Animal Husbandry and Fishery Harvest 2014-2016 and the Special Prize of Teaching Achievement of China Agricultural University. In 2020, he won the First Prize of Invention and Entrepreneurship Award of China Invention Association.

Teaching research

Cognitive Computing and Artificial Intelligence 

Computer Vision Algorithms and Applications 

Professional English 

Linux Operating System Programming 

Programming Experiments


Social Position

Senior Member of Chinese Computer Society

Member of the Computer Graphics and Aided Design Committee

Senior Member of Chinese Agricultural Engineering Society

Member of Chinese Artificial Intelligence Society


Dynamic activity

Field

Computer Vision, Image Processing, Computer Graphics, Virtual Reality and Human-computer Interaction.

Open Course

Cognitive Computing and Artificial Intelligence 

Computer Vision Algorithms and Applications 

Professional English 

Linux Operating System Programming 

Programming Experiments

Project

Vertical Projects

  1. 2025.12.01 - 2026.11.30, no supporting project, research on the development direction and implementation path of modern intelligent agriculture.

  2. 2025.06.26-2025.12.31, province, autonomous region, municipality directly under the central government science and technology project, 2025 modern agricultural industry technology system Beijing intelligent agriculture innovation team-livestock house environment precise control

  3. 2025.03.05-2025.08.31, scientific and technological projects commissioned by enterprise units, research and integrated application of key technologies for mechanized harvesting of wolfberry

  4. 2024.11.08-2024.12.31, province, autonomous region, municipality directly under the central government science and technology project, 2024 modern agricultural industry technology system Beijing intelligent agriculture innovation team-livestock house environment precise control

  5. 2023.09.17-2023.12.31, municipal bureau ( including county ) project, river crab intelligent three-dimensional breeding factory technology integration and demonstration

  6. 2023.03.13-2023.12.31, science and technology projects of provinces, autonomous regions and municipalities directly under the central government, modern agricultural industrial technology system in 2023 Beijing industrial economy and policy innovation team-Poultry industry economy and policy research :

  7. 2022.10.11-2022.12.31, science and technology projects of provinces, autonomous regions and municipalities directly under the central government, 2022 Modern Agricultural Industrial Technology System Beijing Industrial Economy and Policy Innovation Team-Poultry Industry Economy and Policy Research :

  8. 2022.05.13-2024.12.31, Municipal Bureau ( including county ) project, key technology research and creation of digital fishery intelligent equipment

  9. 2022.01.06-2024.11.30, the project of the Ministry of Science and Technology of the People 's Republic of China, intelligent diagnosis and active prevention and control system for typical livestock and poultry diseases.

  10. 2022.02.21-2024.11.01, Ministry of Science and Technology of the People's Republic of China, Livestock and poultry disease wisdom cloud service platform computing architecture and system research application

  11. 2021.05.31-2021.12.31, Provincial, Municipal and Autonomous Region Science and Technology Projects, 2021 Modern Agricultural Industry Technology System Beijing Innovation Team Construction - Poultry Industry

  12. 2021.05.06-2023.12.31, Ministry of Science and Technology of China, Key technology of low power consumption and high precision sulfide sensing for food cold chain logistics traceability

  13. 2021.01.25-2022.12.31, National Key R&D Program, Integrated Demonstration of Eco-Intensive Intelligent Farming Model and Processing and Distribution of Seawater and Semi-saltwater Fish

  14. 2021.01.01-2022.11.30, Non-dependent project, Agricultural Information Processing (English) Journal Grant Project

  15. 2020.12.17-2021.08.30, Ministry of Science and Technology of the People's Republic of China, Research on Science and Technology Innovation Strategy of Factory Aquaculture under the New Situation

  16. 2020.12.03-2023.03.19, Science and technology projects entrusted by enterprises and institutions, ecological engineering farming technology and model of seawater ponds

  17. 2020.11.06-2021.12.31, other research projects, research on emerging, foreword and interdisciplinary disciplines in agriculture for 2035 - Topic 3: guiding ideology, development goals, development strategies and key development areas for the layout of emerging, foreword and interdisciplinary disciplines in agriculture in China

  18. 2020.05.25-2021.12.31, provincial, municipal and autonomous region science and technology projects, land and sea relay water quality precision monitoring, early warning and regulation of key technology research and development

  19. 2019.12.29-2019.12.30, other departments of the State Council, agricultural research outstanding talents and their innovation team training

  20. 2019.12.13-2019.12.31, Science and Technology Projects of Competent Departments, Technical Specification for Pond Farming Internet of Things Agricultural Industry Standard Development and Revision

  21. 2019.11.28-2021.12.31, competent department science and technology projects, 2019 annual science and technology innovation base cultivation and development project special

  22. 2019.11.16-2020.12.31, provincial, municipal and autonomous region science and technology projects, 2020 modern agricultural industry technology system Beijing innovation team construction project - poultry

  23. 2019.06.24-2019.12.31, science and technology projects of competent departments, support services to carry out the development of agricultural and rural informatization

  24. 2019.03.27-2021.03.08, other departments of the State Council, research on the development strategy of intelligent aquaculture industry

  25. 2018.12.18-2019.12.31, Science and technology projects entrusted by enterprises and institutions, integration and demonstration of Internet of Things technology for quality and safety control of vegetables in facilities

  26. 2018.12.12-2020.12.31, National Key Research and Development Program, development of quality management and prediction system for storage and transportation of livestock and poultry products such as refrigerated trucks and refrigerated shelves

  27. 2018.06.17-2018.12.31, Science and technology projects of competent departments, monitoring and statistics of agricultural and rural resources and other projects

  28. 2017.09.25-2019.12.31, provincial, municipal and autonomous region science and technology projects, research on environmental precision regulation model for facility vegetables

  29. 2017.07.04-2017.12.31, Science and technology projects of competent departments, agricultural and rural resources and other monitoring and statistical projects

  30. 2017.07.03-2018.10.01, provincial, municipal and autonomous region science and technology projects, integration and demonstration of key technologies for accurate control of seafood shellfish fry breeding

  31. 2017.06.12-2019.10.31, Science and technology projects entrusted by enterprises and institutions, R&D and demonstration of intelligent regulation and control technology and equipment for large-scale freshwater fish healthy breeding

  32. 2017.05.12-2019.04.30, provincial, municipal and autonomous regional science and technology projects, integrated application of core information technology for early warning, diagnosis and prevention and control of vegetable diseases in facilities

  33. 2017.01.01-2017.09.15, self-selected topic, modern facility agriculture environmental key technology and equipment research

  34. 2016.06.23-2016.12.31, competent department science and technology projects, 2016 agricultural and rural resources and other monitoring and statistical funding (agricultural information technology) project

  35. 2016.06.20-2018.12.31, National Natural Science Foundation of China Project, Research on non-linear combination prediction model of aquaculture water quality based on dynamic multi-scale analysis

  36. 2015.09.20-2016.09.01, Science and Technology Projects Entrusted by Enterprises and Institutions, Key Technology Research and Demonstration Application of Remote Monitoring System of South American White Shrimp Healthy Nursery Environment Based on Internet of Things

  37. 2015.08.27-2017.12.31, International Cooperation Project, China-Europe Cooperation on Sustainable Technology Research

  38. 2015.07.08-2018.03.31, International Cooperation Project, Cooperative Research on Integrated Supervision Technology of Grassland-type Watersheds with Multiple Water Sources Based on Internet of Things

  39. 2015.04.01-2018.03.31, National Science and Technology Support Program, Research on quality and safety traceability system of aquatic products based on wireless sensing, RFID and Internet of Things

  40. 2014.03.31-2014.12.31, Application of key threshold model and knowledge base system for healthy aquaculture

  41. 2014.02.18-2017.12.31, International cooperation project, Innovation and demonstration of hybrid system model for aquaculture based on resource conservation

  42. 2014.01.01-2014.12.31, Self-selected project, Agricultural big data program planning

  43. 2014.01.01-2014.12.31, Other Departments of the State Council, Agricultural Internet of Things Terminology Standards

  44. 2014.01.01-2014.12.31, Other departments of the State Council, Aquaculture IoT platform standards

  45. 2013.08.22-2015.07.01, provincial, municipal and autonomous regional science and technology projects, aquatic product safety production information technology key research

  46. 2013.04.02-2016.04.03, International Cooperation Project, Agricultural Internet of Things Advanced Sensing and Intelligent Processing Key Technology Cooperation

  47. 2013.04.01-2017.12.31, 863 Program, Crop information sensing by star-land remote sensing

  48. 2013.04.01-2014.12.31, Provincial, Municipal and Autonomous Region Science and Technology Projects, Key Technology Research on Comprehensive Service Platform of Agricultural Information Technology

  49. 2013.02.27-2013.12.31, Self-selected project, 3D vision-based koi digital evaluation mechanism and method research

  50. 2012.11.30-2014.12.30, provincial, municipal and autonomous region science and technology projects, research on key technology of networking of things for facility vegetables

  51. 2012.09.01-2014.12.31, National Natural Science Foundation of China Project, Research on online detection method of difficult impurities in cotton based on hyperspectral imaging

  52. 2012.04.01-2014.04.30, Ministry of Science and Technology of China, Cotton anisotropic fiber online detection metering equipment (Type II) pilot test and transformation

  53. 2012.01.01-2013.06.30, Cooperative research project with Hong Kong, Macao and Taiwan, Research on some problems of machine vision application in agriculture

  54. 2012.01.01-2014.12.31, National Science and Technology Support Program, Key Technology Integration Research on Aquaculture Object Behavior Monitoring Information Service System

  55. 2012.01.01-2012.12.31, International Cooperation Project, Collaborative Research on Key Technologies for Wireless Monitoring of Aquaculture

  56. 2011.09.01-2014.12.31, National Natural Science Foundation of China, Research on human motion tracking method based on stream shape learning in low-dimensional space without marker points

  57. 2011.06.01-2012.08.31, Provincial, Municipal and Autonomous Region Science and Technology Projects, Application Demonstration of Digital Integrated System for Aquaculture Intensive Farming

  58. 2011.01.01-2013.12.31, National Science and Technology Support Program, Research on Comprehensive Perception of Agricultural Field Information and Application of Key Technologies for Rural Information Technology Promotion

Horizontal projects

  1. 2024.12.06-2025.01.06, science and technology projects commissioned by public institutions, Miyun Reservoir water quality environment improvement and biological water purification collaborative development path research.

  2. 2024.04.26-2027.04.26, no relying on the project, co-construction of China Agricultural University professor workstation cooperation agreement

  3. 2024.04.22 - 2025.06.01, science and technology projects commissioned by public institutions, pet standards and results evaluation research projects

  4. 2023.12.29-2024.12.28, no relying on the project, the national digital fishery innovation application base construction project ( silver carp, bighead carp, grass carp ) preliminary design scheme-Anhui Mingguang

  5. 2023.07.18-2024.11.30, no supporting projects, technical consulting services for the construction of digital fishery base ( Mingguang City )

  6. 2023.05.18-2023.12.31, the Ministry of Science and Technology of the People 's Republic of China project, the development of ' typical livestock and poultry disease diagnosis and active prevention and control of cloud platform construction and service procedures ' standard

  7. 2023.03.01.01-2023.12.06, no relying on the project, Chengdu wisdom agriculture ' planting a picture ' breeding a picture ' optimization design project

  8. 2022.04.27-2023.02.28, Other Departments of the State Council, Agricultural Rural Information Development Support Services (2022)

  9. 2021.10.09-2021.12.30, No dependent project, Digital Intelligence Driving Rural Revitalization book

  10. 2021.06.11-2022.02.28, Other Departments of the State Council, Support Services for Agricultural and Rural Informatization Development

  11. 2020.06.05-2020.12.31, Agricultural and Rural Informatization Development Support Services

  12. 2020.06.03-2020.11.30, Langfang digital countryside development planning and digital countryside pilot assessment and acceptance service project

  13. 2019.06.10-2020.06.09, Aerospace key materials gene database platform construction - data extraction

  14. 2019.02.01-2019.03.31, preparation of the implementation rules for the construction of agricultural and rural big data in Tianjin

  15. 2017.04.25-2021.01.01, Development and demonstration of precise control system of facility hydroponic vegetable planting environment based on Internet of Things

  16. 2011.12.28-2012.06.30, Wuxi City, Jiangsu Province, the application of Internet of Things in the farming industry demonstration project

Thesis


[1] Zhang H, Dong M, Li F, Li Z B*, et al. An attention-guided multi-scale feature cascade network for underwater fish counting[J]. Engineering Applications of Artificial Intelligence, 2025, 159: 111608.

[2] Sun H, Li X, Ding Y, Li Z B*, et al. SFRP: Fine-Grained Point Cloud Classification via Interaction of Spatial and Feature Representation Points[C]//2025 IEEE International Conference on Multimedia and Expo (ICME). 2025. DOI:10.1109/ICME59968.2025.11210187.

[3] Li X, Li F, Ding Y, Li Z B*, et al. UnPlantPC: Unsupervised plant point cloud completion based on keypoint sampling and region-aware contrastive chamfer distance loss[J]. Computers and Electronics in Agriculture, 2025, 237: 110547.

[4] Cen C, Li F, Hu P, Li Z B*, et al. A multi-scale vision mixture-of-experts for salient object detection with Kolmogorov-Arnold adapter[J]. Neurocomputing, 2025: 130349.

[5] Wang Y, Cen C, Cao H, Li Z B*, et al. Guided Representation Learning with Dictionary-Based Fuzzy Sparse Discriminative Embedding[J]. Expert Systems with Applications, 2025: 128112.

[6] Ding Y, Li Y, Li X, Li Z B*, et al. GRPE: High-fidelity 3D Gaussian reconstruction for plant entities[J]. Computers & Graphics, 2025: 104277.

[7] Cen C, Li F, Li Z B*, et al. MMSOD: Mixture-of-experts with Adapter for Multimodal Salient Object Detection[C]//2025 International Joint Conference on Neural Networks (IJCNN). Rome, Italy, 2025: 1-8. DOI: 10.1109/IJCNN64981.2025.11228833.

[8] Dong M, Li F, Li Z B*, et al. DFPN: a dynamic fusion prototypical network for few-shot learning[J]. Applied Intelligence, 2025, 55(8): 729.

[9] 彭秋珺,李蔚然,刘业强,李振波,.基于改进HRNet的高精度鱼类姿态估计方法(英文)[J]. 智慧农业(中英文), 2025, 7(03): 160-172.

[10] Li X, Wang W, Sun H, Li Z B*, et al. PlantPCC: Dual Sampling and Multi-level Geometry-aware Contrastive Regularization for Plant Point Cloud Completion[C]//ICASSP 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025: 1-5.

[11] Liu Y, Li W, Ding Y, Li Z B*, et al. PDTrack: Progressive Distance Association for Multiple Object Tracking[C]//ICASSP 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025: 1-5.

[12] 李振波,孙浩翔,郭倩男,.机器视觉技术在大体型家畜无接触体尺测量中的研究进展[J]. 农业工程学报, 2025, 41(07): 1-12.

[13] Dong M, Li F, Li Z B*, et al. Contrastive prototype learning with semantic patchmix for few-shot image classification[J]. Engineering Applications of Artificial Intelligence, 2025, 142: 109917.

[14] Cen C, Li F, Li Z B*, et al. Towards salient object detection via parallel dual-decoder network[J]. Engineering Applications of Artificial Intelligence, 2025, 139: 109638.

[15] Han M, Yu K, Li W, Li Z B*, et al. Colliding Depths and Fusion: Leveraging Adaptive Feature Maps and Restorable Depth Recharge for Infrared and Visible Scene Fusion[J]. IEEE Transactions on Multimedia, 2024.

[16] Li X, Li F, Qi Y, Li Z B*, et al. Plantformer: plant point cloud completion based on localglobal feature aggregation and spatial context-aware transformer[J]. Neural Computing and Applications, 2024: 1-16.

[17] Dong M, Li F, Li Z B*, et al. PRSN: Prototype resynthesis network with cross-image semantic alignment for few-shot image classification[J]. Pattern Recognition, 2025, 159: 111122.

[18] Qi Y, Guo R, Li Z B*, et al. Masked Visual Pre-training for RGB-D and RGB-T Salient Object Detection[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Singapore: Springer Nature Singapore, 2024: 49-66.

[19] Liu Y, Li W, Liu X, Li Z B*, et al. Deep learning in multiple animal tracking: A survey[J]. Computers and Electronics in Agriculture, 2024, 224: 109161.

[20] Li W, Liu Y, Wang W, Li Z B*, et al. TFMFT: Transformer-based multiple fish tracking[J]. Computers and Electronics in Agriculture, 2024, 217: 108600.

[21] Wang W, Li Z, Li W, Li Z B*, et al. Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving[J]. Neural Networks, 2024, 170: 427-440.

[22] Li F, Cen C, Zhang X, Li Z B*, et al. Dualattention global domain adaptation for mariculture image enhancement[J]. IET Image Processing, 2023, 17(6): 1668-1680.

[23] Li W, Zhu Q, Zhang H, Li Z B*, et al. A lightweight network for portable fry counting devices[J]. Applied Soft Computing, 2023, 136: 110140.

[24] Li F, Zhang X, Li W, Li Z B*, et al. Invertible Underwater Image Enhancement Network[J]. Available at SSRN 4129750.

[25] Zhang H, Li W, Qi Y, Li Z B*, et al. Dynamic fry counting based on multi-object tracking and one-stage detection[J]. Computers and Electronics in Agriculture, 2023, 209: 107871.

[26] Ning Y, Li F, Dong M, Li Z B*, et al. OWS-Seg: Online Weakly Supervised Video Instance Segmentation via Contrastive Learning[C]//International Conference on Artificial Neural Networks. Cham: Springer Nature Switzerland, 2023: 476-488.

[27] Li F, Zhang L, Liu Z, Li Z B*, et al. Multi-frequency representation enhancement with privilege information for video super-resolution[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 12814-12825.

[28] Li Y, Li F, Li Z B*. Multi-Scale Attention Conditional GAN for Underwater Image Enhancement[C]//Computer Graphics International, 2023.

[29] 张涵钰,李振波,李蔚然,.基于机器视觉的水产养殖计数研究综述[J]. 计算机应用, 2023, 43(09): 2970-2982.

[30] 彭秋珺,李蔚然,李振波.基于人工智能的鱼类行为识别研究综述[J/OL]. 农业机械学报: 1-21 [2023-10-08]. http://kns.cnki.net/kcms/detail/11.1964.S.20230914.1707.045.html.

[31] 王静,李蔚然,刘业强,李振波,.面向养殖动物的视觉计数方法及应用综述[J/OL]. 农业机械学报: 1-20 [2023-10-08]. http://kns.cnki.net/kcms/detail/11.1964.S.20230911.1752.018.html.

[32] Zhao Y, Li W, Li Y, Li Z B*, et al. LFCNet: A lightweight fish counting model based on density map regression[J]. Computers and Electronics in Agriculture, 2022, 203: 107496.

[33] Wang  Y, Li Z B*,  Li  F,  Mi  Y , Yue  J. Fuzzy Discriminative Block Representation Learning for Image Feature Extraction. IEEE Transactions on Image Processing. 2022, 31, 4994–5008.

[34] Wang  Y, Li Z B*., Li F, et al. Towards fusing fuzzy discriminative projection and representation learning for image classification. Engineering Applications of Artificial Intelligence, 2022, 105137.

[35] Li W, Li F, Li Z B*. CMFTNet: Multiple fish tracking based on counterpoised JointNet[J]. Computers and Electronics in Agriculture, 2022, 198: 107018.

[36] Li F, Li Z B* , etal.DRCNet: Dynamic Image Restoration Contrastive Network.2022.

[37] Li F, Wang Y, Li Y M, Li Z B*. Tied Bilateral Learning for Aquaculture Image Enhancement[J]. Computers and Electronics in Agriculture, 2022.

[38] Yang  P, Liu  QH, Wang, BN, Li  WR, Li Z B*, An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50. International Journal of Sensor Networks, 2022.

[39] Guo R, Niu D, Qu L, Li Z B*. Sotr: Segmenting objects with transformers[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 7157-7166.

[40] Guo R, Qu L, Niu D, Li Z B*et al. LeafMask: Towards Greater Accuracy on Leaf Segmentation[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 1249-1258.8. 

[41] Peng F, Miao Z, Li F, Li Z B*. S-FPN: A shortcut feature pyramid network for sea cucumber detection in underwater images[J]. Expert Systems with Applications, 2021, 182: 115306. 

[42] Li Z B*, Li Y, Yang Y, et al. A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN[J]. Computers and Electronics in Agriculture, 2021, 182: 106054. 

[43] Wu Y F, Guo H, Li Z B* , et al. Body Condition Score for Dairy Cows Method Based on Vision Transformer[C]// IEEE International Workshop on Metrology for Agriculture and Forestry,2021.

[44] Li Z B*,Guo R H, Li M, et al. A review of computer vision technologies for plant phenotyping. Computers and Electronics in Agriculture, 2020,176, 105672.

[45] Li Z B*, Yang Y, Li Y,et al. A solanaceae disease recognition model based on SE-Inception .Computers and Electronics in Agriculture, 2020,178, 105792.

[46] Li Z B*, Li F, Zhu L, et al. Vegetable Recognition and Classification Based on Improved VGG Deep Learning Network Model[J]. International Journal of Computational Intelligence Systems, 2020, 13(1):559.

[47] Guo H, Li Z B, Ma Q . A bilateral symmetry based pose normalization framework applied to livestock body measurement in point clouds[J]. Computers and Electronics in Agriculture, 2019, 160: 59-70. 

[48] Peng Y, Zhang L, Song Z, Li Z B* ,et al. A QR code based tracing method for fresh pork quality in cold chain[J]. Journal of food process engineering, 2018, 41(4): e12685.

[49] Li Z B*, Peng F, Niu B, et al. Water quality prediction model combining sparse auto-encoder and LSTM network[J]. IFAC-PapersOnLine, 2018, 51(17): 831-836.

[50] Li Z B*, Li G, Niu B, et al. Sea cucumber image dehazing method by fusion of retinex and dark channel[J]. IFAC-PapersOnLine, 2018, 51(17): 796-801.

[51] Wu J, Li Z B*, Zhu L, et al. Optimized BP neural network for dissolved oxygen prediction[J]. IFAC-PapersOnLine, 2018, 51(17): 596-601.

[52] Li Z B, Niu B, Peng F, et al. Classification of peanut images based on multi-features and SVM[J]. IFAC-PapersOnLine, 2018, 51(17): 726-731.

[53] Li C, Li Z B*, Wu J, et al. A hybrid model for dissolved oxygen prediction in aquaculture based on multi-scale features[J]. Information processing in agriculture, 2018, 5(1): 11-20.

[54] Zhu L, Li Z B*, Li C, et al. High performance vegetable classification from images based on alexnet deep learning model[J]. International Journal of Agricultural and Biological Engineering, 2018, 11(4): 217-223.

[55] Zhu H, Yue J, Li Z B, et al. Multi-kernel dictionary learning for classifying maize varieties[J]. International Journal of Agricultural and Biological Engineering, 2018, 11(3): 183-189.

[56] Zhang L, Li Z B*, Li Q Y, et al. Pig behavior analysis system based on video tracking technology[J]. International Agricultural Engineering Journal, 2016, 25(1): 133-146.

[57] Guo C X, Li Z B*, Li C, et al. Design and implementation of monitoring system of agricultural prices based on Ice middleware[J]. International Agricultural Engineering Journal, 2016, 25(2): 159-170.

[58] Wang W, Li Z B*, Yue J, et al. Image segmentation incorporating double-mask via graph cuts[J]. Computers & Electrical Engineering, 2016, 54: 246-254.

[59] Zhang H, Qiao X, Li Z B, et al. Effective wavelengths selection of hyperspectral images of plastic films in cotton[C]//International Conference on Computer and Computing Technologies in Agriculture. Springer, Cham, 2015: 519-527.

[60] Wang X, Yang W, Li Z B. A fast image segmentation algorithm for detection of pseudo-foreign fibers in lint cotton[J]. Computers & Electrical Engineering, 2015, 46: 500-510.

[61] Xu Y, Yang WLi Z B. Soil Water Sensor Based on Standing Wave Ratio Method of Design and Development[C]//International Conference on Computer and Computing Technologies in Agriculture. Springer, Cham, 2014: 720-730.

[62] Yue J, Li C, Li Z B*. An Improved Method for Image Retrieval Based on Color and Texture Features[C]//International Conference on Computer and Computing Technologies in Agriculture. Springer, Cham, 2014: 739-752.

[63] Jiang Y, Li Z B, Fang J, et al. Automatic video tracking of Chinese mitten crabs based on the particle filter algorithm using a biologically constrained probe and resampling[J]. Computers and electronics in agriculture, 2014, 106: 111-119.

[64] Liu S, Xu L, Jiang Y, Jiang  Y, Li  DL,  Chen, YY, Li Z B. A hybrid WA–CPSO-LSSVR model for dissolved oxygen content prediction in crab culture[J]. Engineering Applications of Artificial Intelligence, 2014, 29: 114-124.

[65] Fang J, Jiang Y, Yue J, Wang ZC,  Li DL,  Li Z B*. A hybrid approach for efficient detection of plastic mulching films in cotton[J]. Mathematical and Computer Modelling, 2013, 58(3-4): 834-841.

[66] Yue J, Liu L, Li Z B, et al. Improved quality analytical models for aquatic products at the transportation in the cold chain[J]. Mathematical and Computer Modelling, 2013, 58(3-4): 474-479. 

[67] Fang J, Jiang Y, Yue J,   Wang Z,   Li DL,  Li Z B . A hybrid approach for efficient detection of plastic mulching films in cotton[J]. Mathematical and Computer Modelling, 2013, 58(3-4): 834-841.

[68] Jiang Y, Fang J, Li Z B, et al. Automatic tracking of swimming koi using a particle filter with a center-surrounding cue[J]. Mathematical and Computer Modelling, 2013, 58(3-4): 859-867. 

[69] Li Z B, Yue J, Zhang L, et al. Design and implementation of real-time monitoring and intelligent management system for intensive aquaculture[J]. Sensor Letters, 2012, 10(1-2): 309-316. 

[70] Li Z B, Yue J, Li H, et al. Individual Identification from 3D Captured Movement Data[J]. Sensor Letters, 2012, 10(1-2): 335-340.

[71] Li Z B, Yue J, Hu L, et al. Weighted least square fitting based abnormal aquaculture water quality perception data elimination[J]. Sensor Letters, 2012, 10(1-2): 529-534. 

[72] Yue J, Li Z B, Liu L, et al. An improved ant colony algorithm for agricultural knowledge storage scheduling under grid environment[J]. Sensor Letters, 2012, 10(1-2): 562-569. 

[73] Li Z B, Jiang Y, Yue J, et al. An improved gray model for aquaculture water quality prediction[J]. Intelligent Automation & Soft Computing, 2012, 18(5): 557-567.

[74] Ma D, Ding Q, Li Z B, et al. Prototype of an aquacultural information system based on internet of things E-Nose[J]. Intelligent Automation & Soft Computing, 2012, 18(5): 569-579.

[75] Li Z B, Jiang Y, Yue J, et al. A new hybrid PCNN for multi-objects image segmentation[C]//Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference. IEEE, 2012: 1-6.

[76] Li Q, Li D, Li Z B. Design of expert system for fault diagnosis of water quality monitoring devices[C]//International Conference on Computer and Computing Technologies in Agriculture. Springer, Berlin, Heidelberg, 2011: 524-529.

[77] Li H, Wang J, Yang W, Liu  S,  Li Z B,   Li  DL. Feature selection for cotton foreign fiber objects based on PSO algorithm[C]//International Conference on Computer and Computing Technologies in Agriculture. Springer, Berlin, Heidelberg, 2011: 446-452.

[78] Yue J, Li Z B, Liu L, et al. Content-based image retrieval using color and texture fused features[J]. Mathematical and Computer Modelling, 2011, 54(3-4): 1121-1127.

[79] 杨泳波,赵远洋,李振波*,李晔.基于胶囊SE-Inception的茄科病害识别方法研究[J].图学学报,2022,43(01):28-35.

[80] 吴宇峰,李一鸣,赵远洋,杨普,李振波*,郭浩.基于计算机视觉的奶牛体况评分研究综述[J].农业机械学报,2021,52(S1):268-275.

[81] 李振波*,李萌,吴宇峰,赵远洋,郭若皓,陈雅茹.基于优化SSD算法的冰鲜鲳鱼新鲜度评估方法研究[J].农业机械学报,2021,52(S1):472-481.

[82] 李振波*,赵远洋,杨普,吴宇峰,李一鸣,郭若皓.基于机器视觉的鱼体长度测量研究综述[J].农业机械学报,2021,52(S1):207-218.

[83] 杨普,赵远洋,李一鸣,吴宇峰,李蔚然,李振波*.基于多源信息融合的农业空地一体化研究综述[J].农业机械学报,2021,52(S1):185-196.

[84] 李振波*李萌赵远洋等基于改进的VGG-19 卷积神经网络的冰鲜鲳鱼新鲜度评估方法[J].农业工程学报,,2021,37(22):286-294.

[85] 李振波*,钮冰姗,彭芳,李光耀.基于可见光谱的鱼苗体长估测方法研究[J].光谱学与光谱分析,2020,40(04):1243-1250.

[86] 朱华,岳峻,李振波,张志旺寇光杰.基于l_(2,1)范数原子选择的图像分块稀疏重构.计算机应用研究, 2019,36(05);1560-1563.

[87] 赵明,姜虹李振波,沈翠华,王庆.基于工程专业认证的《计算机图形学》课程大纲改革.教育教学论坛, 2019,(04):124-125.

[88] 杨慧慧,岳峻,贾世祥,李振波,李文升.物联网通信中间件的设计与实现.鲁东大学学报(自然科学版),2019,35(01);6-13.

[89] 李乔宇,尚明华,王风云,王璐,李振波*.基于嵌入式设备的作物长势监测系统.山东农业科学,2019,51(02):143-149.

[90] 傅泽田,王大鹏,张国祥,李振波,VILAl R,李鑫星.冷藏车水产品堆栈方式对温度场的影响.农业机械学报,2019,50(09): 347-356.

[91] 李丹,张凯锋,李行健,陈一飞,李振波,蒲东.基于Mask R-CNN的猪只爬跨行为识别.农业机械学报,2019,50(S1):261-266+275.

[92] 李备备,岳峻,贾世祥,李振波,寇光杰,张志旺,杨照璐.融合Sobel-SIFT的花朵图像的特征提取方法.鲁东大学学报(自然科学版),2019,35(04):296-300+317.

[93] 李振波,杨晋琪,岳峻.基于协同回归模型的矩阵分解推荐.图学学报,2019,40(05): 983-990.

[94] 李振波,杨晋琪,盖国卫.设施园艺物联网技术与应用进展.农业工程技术,2018,38(25):33-38.

[95] 朱玲,李振波,杨照璐,李晨,吴静,岳峻.基于混合特征的互联网茄子图像检索方法与系统.农业工程学报,2017,33(S1):177-183.

[96] 牟梦媛,岳峻,曲海平,李振波.一种基于改进遗传算法的图像分割方法.鲁东大学学报(自然科学版),2017,33(4);302-308.

[97] 魏丽冉,岳峻,李振波,寇光杰,曲海平.基于核函数支持向量机的植物叶部病害多分类检测方法.农业机械学报,2017,S1:166-171.

[98] 吴静,李振波,朱玲李晨.融合ARIMA模型和GAWNN的溶解氧含量预测方法.农业机械学报,2017,S1:205-210+204.

[99] 张航,乔曦,李振波,李道亮.皮棉中地膜的高光谱图像分割方法.农业工程学报,2016,32(13):161-167.

[100] 杨卫中,徐银丽,乔曦,侥伟,李道亮,李振波.基于对比度受限直方图均衡化的水下海参图像增强方法.农业工程学报,2016,32(6): 197-203.

[101] 段延娥,李道亮,李振波,傅泽田.基于计算机视觉的水产动物视觉特征测量研究综述.农业工程学报,2015,31(15);1-11 .

[102] 王欣,李道亮,杨文柱,李振波.基于可见光机器视觉的棉花伪异性纤维识别方法.农业机械学报,2015,46(8):7-14.

[103] 郭传鑫,李振波,乔曦,李晨,岳峻.基于融合显著图与GrabCut算法的水下海参图像分割.农业机械学报, 2015,(S1):147-152.

[104] 李鑫星,王聪,李振波,陈英义,傅泽田,张领先.水体叶绿素a光学传感器信号调理电路设计与测试.农业机械学报,2015,46(9): 314-318.

[105] 李乔宇,阮怀军,王磊,李道亮,李振波.茶园病虫害智能监测系统设计.山东农业科学,2014,4:12-15.

[106] 刘双印,余龙琴,李振波.李道亮.基于PCA-MCAFA-LSSVM的养殖水质pH值预测模型.农业机械学报,2014,45(5):239-246.

[107] 方晶晶,李振波,姜宇.人体肤色区域的自适应模型分割方法.计算机辅助设计与图形学学报,2013,25(2):229-234

[108] 周茁,朱幸辉,李振波.生猪养殖物联网体系建设探讨.湖南农业科学,2013,3:105-108.


Thesis

Achievements

The software works
  1. Multi-target cattle tracking system based on YOLOv11 and ByteTrack, 2025,2025SR2355623, Software Copyright Registration 

  2. Dynamic flow fish fry counting system based on computer vision, 2025,2025SR2111917, software copyright registration 

  3. PyQT5-based cattle re-identification system, 2025, 2025SR1851214, Software copyright registration 

  4. Web-based Black Goat Counting System, 2025, 2025SR1851209, Software Copyright Registration 

  5. Gradio-based Multimodal Tracking System for Cattle, 2025, 2025SR1837785, Software Copyright Registration 

  6. PYQT-based cattle tracking system, 2025, 2025SR1837751, Software copyright registration 

  7. Web-based Cow Feeding Behavior Counting System, 2025,2025SR1837733, Software Copyright Registration 

  8. YOLOv8-ByteTrack Fusion Cow Intelligent Tracking System, 2025,2025SR1699369, Software Copyright Registration 

  9. Video Stream Oriented Lightweight Motion Tracking System for Fish Targets, 2025,2025SR1350864, Software Copyright Registration 

  10. Marine fish intelligent counting system based on deep learning, 2025,2025SR1317127, software copyright registration 

  11. Web-based cow feeding trough pushing and spreading judgment system, 2025,2025SR1234588, software copyright registration 

  12. Online Exam Invigilation System Based on OpenCV and YOLOv3, 2025,2025SR0586312, Software Copyright Registration

  13. White-feathered chicken behavior detection system based on RT-DETR, 2025,2025SR0475779, software copyright registration 

  14. Android-based white feather chicken behavior recognition system, 2025, 2025SR0471241, software copyright registration 

  15. Multi-target cattle tracking system based on YOLOv7 and ByteTrack, 2025, 2025SR0188538, Software copyright registration 

  16. Human Skeleton Behavior Recognition System Based on MAR-GCN Method, 2025,2025SR0187839, Software Copyright Registration 

  17. Crop pest identification system based on convolutional neural network, 2024,2024SR1760949, software copyright registration 

  18. Android-based Depth Estimation System, 2024,2024SR1365704, Software Copyright Registration 

  19. Depth Estimation System for Joint Segmentation and Salient Object Detection, 2024,2024SR1365633, Software Copyright Registration 

  20. Video depth estimation system based on large model, 2024,2024SR1365626, software copyright registration 

  21. Real-time depth estimation system, 2024,2024SR1365577, software copyright registration 

  22. Fry counting application software based on MCNN model, 2024,2024SR0784367, software copyright registration multi-target pig behavior recognition system based on Vue and Django, 2024,2024SR0515857, software copyright registration 

  23. Intelligent aquatic biological data monitoring platform, 2024,2024SR0419451, software copyright registration 

  24. Pig behavior recognition system based on computer vision, 2024,2024SR0376256, software copyright registration

  25. Chicken house monitoring system based on Vue and SpringBoot, 2024,2024SR0240933, software copyright registration 

  26. Fry counting software based on Android Studio, 2024,2024SR0230524, software copyright registration 

  27. Fry counting system based on computer vision, 2023,2023SR1315083, software copyright registration 

  28. Livestock and poultry disease data sharing system based on Vue and spring boot, 2023,2023SR0756476, software copyright registration 

  29. Information Management System for Livestock and Poultry Diseases, 2023,2023SR0458605, Software Copyright Registration 

  30. Laying Hens Disease Knowledge Base Management System, 2023,2023SR0458111, Software Copyright Registration 

  31. Dynamic fry counting system based on PyQT, 2023,2023SR0397656, software copyright registration 

  32. Steel Surface Defect Detection System Based on YOLOv5s, 2022,2022SR1494492, Software Copyright Registration 

  33. Marine Biological Detection System, 2022,2022SR1476748, Software Copyright Registration 

  34. Transformer-based Fish Multi-Target Tracking System, 2022,2022SR1341060, Software Copyright Registration 

  35. One-Stage-based SDE Fish Tracking System, 2022,2022SR1341008, Software Copyright Registration 

  36. Computer Vision-based ' Fry Little Assistant ' Fry Counting System, 2022,2022SR0959712, Software Copyright Registration 

  37. Common plant high-precision segmentation system based on three-dimensional point cloud, 2022,2022SR0538084, software copyright registration 

  38. PyQT-based Underwater Fish Detection System, 2022,2022SR0428171, Software Copyright Registration 

  39. VUE-based aquatic product freshness detection system, 2022,2022SR0428170, software copyright registration

  40. Fish tracking system based on joint detection and tracking paradigm, 2022,2022SR0326379, software copyright registration 

  41. Fry counting system based on computer vision Fish Fry Little Assistant, 2022, 2022SR0959712, software copyright registration

  42. YOLO v3-based Tile Ripple Defect Detection System, 2022, 2022SR0538290, Software copyright registration

  43. Underwater fish detection system based on PyQT, 2022, 2022SR0428171, Software copyright registration

  44. Freshness detection system of aquatic products based on VUE, 2022, 2022SR0428170, Software copyright registration

  45. Fish tracking system based on joint detection and tracking paradigm, 2022, 2022SR0326379, software copyright registration

  46. Fish tracking system based on deep learning technology, 2022, 2022SR0321307, Software copyright registration

  47. Dissolved oxygen fault diagnosis system based on BP neural network, 2022, 2022SR0180149, software copyright registration

  48. Online vegetable distribution management system, 2017, 2017SRBJ0842, software copyright registration

  49. Agricultural products sales management system, 2017, 2017SRBJ0841, software copyright registration

  50. Android-based agricultural products management system, 2017, 2017SRBJ0840, software copyright registration

  51. Sensor status query system, 2017, 2017SRBJ0839, software copyright registration

  52. Eggplant image retrieval method and system based on hybrid features, 2017, 2017SRBJ0114, software copyright registration

  53. Speech recognition system based on semantic human, 2017, 2017SRBJ0113, software copyright registration

  54. Underwater sea cucumber image target detection and segmentation system, 2016, 2016SRBJ0872, software copyright registration

  55. Face detection system based on Kinect camera, 2016, 2016SRBJ0871, software copyright registration

  56. JSP-based tourism management system, 2016, 2016SRBJ0869, software copyright registration

  57. JSP-based underwater world management system, 2016, 2016SRBJ0868, software copyright registration

  58. Oracle database monitoring system, 2016, 2016SRBJ0866, software copyright registration

  59. Intelligent Information Processing Platform System for Agricultural Internet of Things, 2016, 2016SRBJ0100, software copyright registration

  60. Agricultural IOT intelligent equipment operation and maintenance management system, 2016, 2016SRBJ0095, software copyright registration

  61. Agricultural Internet of Things Application Platform System, 2016, 2016 SRBJ0094, software copyright registration

  62. Screen digital OCR software, 2016, 2016SRBJ0072, software copyright registration

  63. Content-based image retrieval system, 2016, 2016SRBJ0071, software copyright registration

  64. Ice middleware-based price monitoring system for agricultural products, 2015, 2015SRBJ0419, software copyright registration

  65. Camshift-based koi tracking system, 2015, 2015SRBJ0418, Software copyright registration

  66. Disease remote diagnosis system for algae farming, 2015, 2015SRBJ0413, Software copyright registration

  67. Disease remote diagnosis system for fish culture, 2015, 2015SRBJ0412, software copyright registration

  68. Disease remote diagnosis system for shellfish culture, 2015, 2015SRBJ0411, software copyright registration

  69. Aquaculture information management system for aquaculture, 2015, 2015SRBJ0288, software copyright registration

  70. Full quality management system for aquaculture, 2015, 2015SRBJ0287, software copyright registration

  71. Intelligent mobile end adult abalone breeding management system, 2015, 2015SRBJ0286, software copyright registration

  72. Intelligent mobile terminal abalone seed genetic breeding management system, 2015, 2015SRBJ0285, software copyright registration

  73. Intelligent mobile terminal seed abalone maturation promotion management system, 2015, 2015SRBJ0284, software copyright registration

  74. Intelligent mobile end abalone seedling breeding management system, 2015, 2015SRBJ0283, software copyright registration

  75. Markerless human target segmentation system in low-dimensional space, 2015, 2015SRBJ0037, Software copyright registration

  76. Vision-based human motion recognition system, 2015, 2015SRBJ0036, Software copyright registration

  77. Human motion tracking system based on sparse representation, 2015, 2015SRBJ0035, Software copyright registration

  78. Intelligent Tracking System for Aquaculture IoT Movement Behavior, 2014, 2014SRBJ0902, Software copyright registration

  79. Aquaculture knowledge base intelligent grasping system, 2014, 2014SRBJ0585, software copyright registration

  80. Automatic Generation System for Comprehensive Benefit Evaluation Report of Small Hydropower Substitute Fuel Project, 2014, 2014SRBJ0584, software copyright registration

  81. Comprehensive Management and Benefit Evaluation System for Small Hydropower Substitute Fuel Project, 2014, 2014SRBJ0583, Software copyright registration

  82. Intelligent environmental control management system for tomato planting in greenhouse trellis, 2014, 2014SRBJ0582, software copyright registration

  83. Intelligent terminal monitoring management system for facility horticulture, 2014, 2014SRBJ0581, software copyright registration

  84. Intelligent control based vegetable planting management system, 2014, 2014SRBJ0580, software copyright registration

  85. Intelligent grasping system for pig breeding knowledge base, 2014, 2014SRBJ0579, software copyright registration

  86. Intelligent grasping system for knowledge base of cash crops, 2014, 2014SRBJ0578, Software copyright registration

  87. GPRS wireless transmission based koi breeding behavior monitoring system, 2014, 2014SRBJ0575, software copyright registration

  88. Sensing-based intelligent classification system for river crab farming movement behavior, 2014, 2014SRBJ0574, Software copyright registration

  89. Automatic monitoring system for koi breeding behavior, 2014, 2014SRBJ0573, Software copyright registration

  90. Forestry and flower knowledge base intelligent capture system, 2014, 2014SRBJ0565, software copyright registration

  91. Self-diagnosis system of bass culture disease, 2014, 2014SRBJ0009, software copyright registration

  92. Intelligent monitoring management system for grass carp breeding based on Internet of Things, 2013, 2013SRBJ0872, software copyright registration

  93. Intelligent monitoring and management system for dairy farming based on Internet of Things, 2013, 2013SRBJ0871, software copyright registration

  94. Integrated management system of facility vegetable Internet of Things, 2013, 2013SRBJ0870, software copyright registration

  95. Intelligent monitoring management system for greenhouse greenhouse, 2013, 2013SRBJ0869, software copyright registration

  96. Intelligent monitoring management system for mushroom planting based on Internet of Things, 2013, 2013SRBJ0867, software copyright registration

  97. Sea cucumber quality and safety traceability information system, 2013, 2013SRBJ0866, software copyright registration

  98. River shrimp quality and safety traceability information system, 2013, 2013SRBJ0865, software copyright registration

  99. Carp culture disease self-diagnosis system, 2013, 2013SRBJ0864, software copyright registration

  100. Shrimp culture disease self-diagnosis system, 2013, 2013SRBJ0863, software copyright registration

  101. Freshwater blackfish aquaculture feed feeding expert system, 2013, 2013SRBJ0862, software copyright registration

  102. Freshwater river shrimp culture feed feeding expert system, 2013, 2013SRBJ0861, software copyright registration

  103. Feed feeding expert system for freshwater grass carp culture, 2013, 2013SRBJ0860, software copyright registration

  104. Cotton anisotropic fiber image vector machine template training system, 2013, 2013SRBJ0455, software copyright registration

  105. Marine biological detection system, Software copyright registration

  106. SVM-based dissolved oxygen sensor fault diagnosis system, Software copyright registration

  107. Steel surface defect detection system based on YOLOv5s, Software copyright registration

  108. High-precision segmentation system of common plants based on 3D point cloud, software copyright registration

  109. SDE fish tracking system based on One-Stage detection, software copyright registration

  110. Fish multi-target tracking system based on Transformer, software copyright registration

Patent
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  2. A device for grading and counting abalone, 2022, 202222756972.6 

  3. A statistical device for the number of fry for proliferation and release, 2022,202211164151.1 

  4. A multi-scale underwater fish detection method based on attention module, 2021,202111292211.3 

  5. An air-ground integrated mariculture water quality monitoring method and system, 2021,202111205033.6

  6. An improved VGG19 method for freshness evaluation and visual interpretation of chilled pomfret, 2021,202110907707.0

  7. A method for detecting the status of hydroponic lettuce seedlings based on GridRCNN, 2021,202110700377.8

  8. A domain adaptive underwater image enhancement method. 2021. 202110555993.9

  9. A leaf segmentation method based on multi-scale dual attention mechanism and full convolutional neural network. 2021. 202110230518.4

  10. A method for freshness assessment and visual interpretation of chilled pomfret with improved VGG19. 2021. 202103113

  11. A flexible passive ammonia sensor and preparation method. 2020. 2020112967.4

  12. A method for detecting ripple-like defects in magnetic tile materials based on YOLOv3. 2019. 201911314751.X

  13. Method and apparatus for verifying temperature field of refrigerated trucks based on stack height of stored goods. 2019. 201910772539.1

  14. A shellfish target detection method incorporating attention mechanism. 2019. 201910450044.7

  15. A chilled meat freshness monitoring device and method. 2018. 201811475872.8

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  17. A method and system for underwater sea cucumber identification. 2018. 201811044429.5

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  23. A method and system for removing weeds from agricultural fields. 2018. 201810360478.3

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  70. A method for detecting the overall ripeness of red grapes in a field based on deep learning and parallel line sampling

  71. A lightweight method for identification of eggplant diseases based on SE-Inception

  72. An improved Faster RCNN hydroponic vegetable seedling state detection method

  73. A MU-SVM-based freshness assessment method for chilled pomfret

  74. A Mask R-CNN based freshness grading method for chilled pomfret

  75. A method of leaf image segmentation based on dual attention mechanism full convolutional network. invention patent

  76. A method and device for gas regulation of microenvironment of aquatic product packaging

  77. An unmanned refrigerated cold storage mobile pickup sterilization or disinfection inspection device and method

  78. A kind of embedded device for fish fry counting based on deep learning density map regression. patent of invention

  79. A deep learning density map regression based fish fry counting embedded device

  80. A noise-resistant eggplant disease identification method based on capsule SE-Inception

  81. A Grid RCNN-based method for detecting the state of hydroponic lettuce seedlings

  82. A Grid RCNN-based method for detecting the state of hydroponic lettuce seedlings

  83. A lightweight SE-ResNet-based method for egg shape identification of seed eggs

  84. A method for detecting defects in hot rolled steel strip by improving Faster R-CNN

  85. An air-ground integrated mariculture water quality monitoring method and system

  86. A multi-scale underwater fish detection method based on attention module

  87. A multiscale underwater fish detection method based on attention module

  88. A multiscale Transformer model for underwater image enhancement

  89. A multi-target tracking method for fish based on equilibrium

  90. A method for underwater fish orthogonal pose recognition based on single-stage detection algorithm

  91. A fish fry population counting device for stocking and releasing

  92. A reversible underwater image enhancement network

  93. A method of underwater image enhancement based on conditional generation adversarial network


Honor

2020 Invention Entrepreneurship Award Innovation Award 

2020 China Invention Association Invention and Entrepreneurship Award First Prize

2013 China Machinery Industry Science and Technology Second Prize,

2013 China Agriculture Science and Technology Second Prize

2013 Science and Technology Progress Second Prize

2015 Scientific and Technological Progress of Jiangsu Province Second Prize  

2017 2014-2016 National Agricultural, Animal Husbandry and Fishery Harvest First Prize

2017 Teaching Achievements of China Agricultural University Special Prize 


Enrollment

Ph.D. and academic master's degree in the direction of computer science and technology. Professional master's degree in the direction of computer technology.

Enrollment in previous years Application intention

Team Display

Post: Professor

Duties: Vice President

Research Label: Engineering

Degree: Doctor

Tel: 010-62738751

Email: lizb@cau.edu.cn

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