硕士生导师
王沛，男，江苏南京人，博士，副教授，硕士研究生导师，中共党员，第四批重庆市学术技术带头人后备人选。
主要学习与工作经历如下：
2007.09 – 2011.07，中国农业大学理学院应用化学系、药械与施药技术研究中心，本科（国家理科基础科学研究与教学人才培养基地）；
2011.09 – 2013.07，中国农业大学工学院农业工程系植保机械研究室、现代农业装备优化设计北京市重点实验室，硕士研究生（免试推荐）；
2013.09 – 2017.04，德国霍恩海姆大学农学院植物医学研究所杂草科学研究组，博士研究生（国家建设高水平大学项目公派）；
2017.09 – 2019.09，江苏大学农业装备工程学院、农业农村部植保工程重点实验室，特聘副教授、重点实验室秘书兼联系人；
2019.09 –至今，js3983线路检测、长江经济带农业绿色发展研究中心、农业农村部西南山地农业绿色低碳重点实验室、丘陵山区农业装备重庆市重点实验室，副教授；
2022.03 –至今，中国农业科学院都市农业研究所智能园艺机器人创新团队客座研究骨干。
Dr. Pei Wang finished his Bachelor's and Master's degree in China Agricultural University with the subjects Applied Chemistry (Pesticide Science, 2011) and Agricultural Engineering (Plant Protection Technology, 2013) respectively. In 2017, he obtained a Ph.D. degree from the Institute of Phytomedicine, University of Hohenheim, Germany. After that, he served as a Research Associate in the Key Laboratory of Plant Protection Engineering, Ministry of Agricultural and Rural Affairs, China. Since September 2019, he is employed as an Associate Professor at Southwest University, China. Meanwhile, Dr. Pei Wang also serves as a senior visiting researcher in the innovative group of Intelligent Gardening Robotics at the Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. His research expertises include plant protection equipment, application technology, weed control, herbicide resistance management, and precision farming, etc. In 2024, he was selected as the potential leader of Agricultural Engineering research community by the goverment of Chongqing, China. In 2017, he was awarded with the Young Scientist Grant by European Congress on Precision Agriculture (ECPA). Dr. Pei Wang acts as the Associate Editor ofEngineering- Agriculture(Smart Agricultural Section, Journal of the Chinese Academy of Engineering),Frontiers in Plant Science, and the Editor ofAgriculture, as well as an expert working group member of the ISO committee of the equipment for crop protection (ISO/TC23/SC6/WG6).
More information about Dr. Pei Wang can be found on his personal website:https://sites.google.com/site/wangpeipepe/home
精准农业：植保机械与施药技术、病虫害识别与预警、精准除草装备、植物营养表型与精准施肥技术、智能畜禽疫病检测技术等。
Dr. Pei Wang expertises in Precision Agriculture technology including plant protection equipment and pesticide application technology, pest identification and monitoring, precision weed control, crop nutrition phenotyping and precision fertilization technology, intelligent livestock disease identification, etc.
重庆市学术技术带头人后备人选（农业工程学科）；ISO国际标准委员会植保机械与施药技术委员会ISO/TC23/SC6/WG6专家工作组成员、中国工程院院刊Engineering- Agriculture智慧农业学科Associate Editor、Frontiers in Plant Science期刊Associate Editor、Agriculture期刊Editor；重庆市科技特派团团长、重庆市农业机械学会科普教育委员会秘书长、中国农村专业技术协会重庆永川梨科技小院负责人、中国农村专业技术协会重庆铜梁蔬菜科技小院智慧农业专业指导教师；国际精准农业学会会员、欧洲精准农业学会会员、美国农业与生物工程师协会会员、中国农业工程学会高级会员（大数据专业委员会委员）、中国作物学会高级会员（智慧农业专业委员会委员）、中国农业机械学会高级会员（人工智能分会委员、基础技术分会委员）；Computers and Electronics in Agriculture, Biosystems Engineering, Precision Agriculture, Transactions of the ASABE, IJABE, Crop Protection, Weed Science,农业工程学报,农业机械学报等农业工程、精准农业以及杂草科学领域权威期刊审稿人；2017年获评欧洲精准农业协会（ECPA）“Young Scientist Grant”。
重庆市科技局，CSTB2024JXJL-YFX0028，基于亚临界水热反应生物质废弃物资源化利用技术研发与应用，2025.02~2027.02，在研，课题主持；
亚洲合作资金澜沧江-湄公河合作机制，澜湄国家经济林果小型作业装备适应性研究与示范，2023.01-2024.12，在研，课题主持；
重庆市永川区政府项目，永川梨全产业链绿色低碳发展，2022.05-2025.04，在研，课题主持；
中央高校基本科研业务费专项，SWU-KT22024，表面活性剂对杂草微表面结构及药液吸收影响机理研究，2022.01-2024.12，在研，主持；
重庆市人工智能试验区第三批重点研发项目，cstc2021jscx-gksbX0067，工厂化养殖场智能管控关键技术装备研发与集成应用，2021.11-2024.10，结题，课题主持；
现代农业装备与技术教育部重点实验室开放基金，MAET202105，非生物因素影响下的田间杂草抗药性荧光诊断方法研究，2022.01-2023.12，结题，主持；
浙江省农业智能装备与机器人重点实验室开放课题，种鸡体温无接触测定与行为解析关键技术研究，2022.01-2023.12，结题，主持；
国家自然科学基金青年基金项目，32001425，喷雾助剂与植物叶面特征对除草剂施药效果的交互性影响机理研究，2021.01-2023.12，结题，主持；
国家自然科学基金面上项目，31971790，雾滴群撞击柔性作物叶面的多尺度研究，2020.01-2023.12，结题，主研；
重庆市自然科学基金，cstc2020jcyj-msxmX0414，杂草叶面性质与喷雾助剂对除草剂施药效果的影响机理研究，2020.07-2023.06，结题，主持；
重庆市自然科学基金，cstc2020jcyj-msxmX0459，田间非生物因素影响下的抗除草剂杂草快速诊断方法研究，2020.07-2023.06，结题，主研；
四川省科技计划项目，成渝地区农业机械关键技术及产业发展路线研究，2021.04-2023.03，结题，主研；
重庆市农业综合行政执法总队委托项目，HT2021221，农机执法能力提升调研，2021.09-2021.11，结题，主研；
西南大学引进人才计划项目，SWU019045，叶面特性对除草剂使用效果影响机制研究，2019.10-2021.12，结题，主持；
江苏大学高级人才科研启动基金，5501200004，静电喷雾雾滴在植物靶标表面沉积特性研究，2018.01-2019.12，结题，主持；
宁夏回族自治区重点研发计划课题，2018BBF02020，葡萄静电喷雾施药装备研发，2018.07-2020.12，结题，主研；
江苏大学农业装备学部项目，轻型水田自走式喷杆喷雾机关键技术及装备研发，2018.07-2021.06，结题，主研；
国家重点研发计划子课题，2017YFD07000900，田间喷雾作业质量在线监控技术研究与系统开发，2017.07-2020.12，结题，主研；
国家重点研发计划子课题，2016YFD0200700，静电喷药控制系统研制，2016.01-2020.12，结题，参与；
德国联邦食品与农业部基金，FKZ-28RZ4IP021，'QWERT' – Management of herbicide-resistant weeds – detecting herbicide-resistant weeds in the field, GIS-based documentation, analysis of resistance mechanisms and methods to overcome resistance，2016.06-2018.12，结题，主研；
德国联邦食品与农业部基金，FKZ-2814705011，Management of herbicide-resistant weeds - diagnosis and detection of herbicide-resistant weed populations in the field, GIS-based documentation, risk analysis and recommendations for management decisions，2013.03-2016.02，结题，主研；
中国农业大学研究生科研创新基金，2012YJ262，雾滴在不同结构杂草叶片表面的沉积与蒸发规律研究，2012.01-2012.12，结题，主持；
农业部公益性行业科技专项课题，201203025，植保机械关键技术优化提升与集成示范（设施施药装备与技术），2012.01-2016.12，结题，参与；
国家863计划课题，2008AA100905，蔬菜高效施药技术研究与装备创制，2008.01-2010.12，结题，参与。
1.Huang, Y., Li, H., Wang, l., Li, C., Niu, Q., He, X., Ma, W., Xi, W., Yang, Y., &Wang, P.*(2026) A real-time orchard navigation path extraction method using semantic segmentation and pixel scanning.Smart Agricultural Technology, 13, 101657.
2.Tang, Y., Luo, F., Wu, P., Tan, J., Wang, L., Niu, Q., Li, H., &Wang, P.*(2025) An improved YOLO network for small target insects detection in tomato fields.Computers and Electronics in Agriculture, 239(Part A), 110915.
3.Wang, P.*, Wu, P., Wang, C., Huang, X., Wang, L., Li, C., Niu, Q., & Li, H.* (2025). Chicken body temperature monitoring method in complex environment based on multi-source image fusion and deep learning.Computers and Electronics in Agriculture, 228, 109689.
4.Wang, P.*, Tan, J., Yang, Y., Zhang, T., Wu, P., Tang, X., Li, H.*, He, X., & Chen, X. (2025). Efficient and accurate identification of maize rust disease using deep learning model.Frontiers in Plant Science, 15, 1490026.
5.Niu, Q., Ma, W., Diao, R., Yu, W., Wang, C., Li, H., Wang, L., Li, C., &Wang, P.*(2025). Research on recognition of green sichuan pepper clusters and cutting-point localization in complex environments.Agriculture, 15(10), 1079.
6.Chen, Z., Chen, Y., Li, H., &Wang, P.* (2025). Design and control algorithm of a motion sensing-based fruit harvesting robot.Frontiers of Agricultural Science and Engineering (Engineering-Agriculture), 12(2), 190-207.
7.Huang, Y., Li, H., Yang, Y., Li, C., Wang, L., &Wang, P.*(2025). Lightweight GAN for Restoring Blurred Images to Enhance Citrus Detection.Plants, 14(19), 3085.
8.Li, M., He, M., Lu, Y., Lu, W.,Wang, P., Zhang, Y., Li, H., Yang, Y., Xi, W., & Zhang, T.* (2025). Synergistic benefits of leguminous green manure intercropping for weed control and productivity improvement in pear orchards.Scientia Horticulturae, 340, 113955.
9.He, M., Li, M., Lu, Y.,Wang, P., Zhang, T.*, & Yang, Y.* (2025). Synergistic enhancement of pear disease control and fruit quality by microbial pesticides.ACS Agricultural Science & Technology,5,381-390.
10.吴朋芯,汪超,王沛,李慧*. (2025)基于图像融合的鸡只红外测温校准方法.西南大学学报（自然科学版）, 47(9): 24-34.
11.夏宇,李慧,张彤,王沛*. (2025)基于叶绿素荧光成像技术的土壤含水量对除草剂药效影响研究.西南大学学报（自然科学版）, 47(3): 10-22.
12.Wang, P.*, He, M., Li, M., Yang, Y., Li, H., Xi, W., & Zhang, T.* (2024). Optimization of application parameters for uav-based liquid pollination in pear orchards: a yield and cost perspective.Agronomy, 14(9), 2033.
13.李慧,陈子文,李强,唐印, &王沛*. (2024).径向对靶风送式施药机风场优化设计与试验.西南大学学报(自然科学版), 46(5), 195-206.
14.Li, H., Wan, L., Li, C., Wang, L., Zhu, S., Chen, X., &Wang, P.*(2024). Hyperspectal imaging technology for phenotyping iron and boron deficiency inBrassica napusunder greenhouse conditions.Frontiers in Plant Science, 15, 1351301.
15.Zhang, J., Li, C., Niu, Q.,Wang, P., Wang, L.*, & Li, H.* (2023). Characterization of green peppers based on dynamic repose angle.LWT, 180, 114703.
16.Wang, P.*,Xu, C., Li, C., Wang, L., Niu, Q., Li, H. (2023). Investigation of factors enhancing droplets spreading on leaves with burrs.Frontiers in Plant Science, 14, 1220878.
17.Li, Y., Zhuo, P., Jiao, H.,Wang, P., Wang, L., Li, C., Niu, Q.* (2023). Construction of constitutive model and parameter determination of green Sichuan pepper (Zanthoxylum armatum) branches.Biosystems Engineering, 227, 147-160.
18.Wang, P.*, Peteinatos, G., Efthimiadou, A., & Ma, W.(2023). Weed identification and integrated control.Frontiers in Plant Science, 14, 1351481.
19.Wang, P.*, Tang, Y., Luo, F., Wang, L., Li, C., Niu, Q., Li, H.* Weed25: a weed database for machine learning. 14th Conference on Precision Agriculture (ECPA2023). 2-6 July 2023, Bologna, Italy. (Oral presentation)
20.陈子文,胡宗锐,熊扬凡,王沛,余永,彭淼, &杨明金*. (2023).树冠环绕式仿形对靶施药机设计与试验.农业工程学报, 39(3).
21.Wang, P.*, Luo, F., Wang, L., Li, C., Niu Q., Li, H.* (2022) S-ResNet: an improved ResNet neural model capable of the identification of small insects. Frontiers in Plant Science, 13, 1066115.
22.Wang, P.*, Tang, Y., Luo, F., Wang, L., Li, C., Niu Q., Li, H.* (2022) Weed25: a deep learning dataset for weed identification. Frontiers in Plant Science, 13, 1053329.
23.Wang, A.*, Gao, B., Cao, H.,Wang, P., Zhang, T., Wei, X. (2022). Early detection ofSclerotinia sclerotiorumon oilseed rape leaves based on optical properties.Biosystems Engineering, 224, 80-91.
24.Zhuo, P., Li, Y., Wang, B., Jiao, H.,Wang, P.,Li, C., Niu, Q., Wang, L.* (2022) Analysis and experimental study on vibration response characteristics of mechanical harvesting of jujube.Computers and Electronics in Agriculture, 203, 107446
25.Wan, L., Li, H., Li, C., Wang, A., Yang, Y.,Wang, P.*(2022). Hyperspectral sensing of plant diseases: principle and methods.Agronomy, 12(6), 1451.
26.Zhang, H., Qi, L.*, Wan, J., Musiu, E. M., Zhou, J., Lu, Z.,Wang, P.(2022). Numerical simulation of downwash airflow distribution inside tree canopies of an apple orchard from a multirotor unmanned aerial vehicle (UAV) sprayer.Computers and Electronics in Agriculture, 195, 106817.
27.Zhang, H., Qi, L.*, Wan, J., Musiu, E. M., Zhou, J., Lu, Z.,Wang, P.(2021). WSPM-System: Providing real data of rotor speed and pitch angle for numerical simulation of downwash airflow from a multirotor UAV sprayer.Agriculture, 11(11), 1038.
28.Zhang, H., Qi, L.*, Wu, Y., Musiu, E., Cheng. Z.,Wang, P.(2020) Numerical simulation of airflow field from a six–rotor plant protection drone using lattice Boltzmann method.Biosystems Engineering197(9), 336-351.
29.Appah, S., Jia, W. *, Ou, M.,Wang, P., Asante, E.A.(2020) Analysis of potential impaction and phytotoxicity of surfactant-plant surface interaction in pesticide application.Crop Protection,127(1), 104961.
30.Wang, P.*, Yu, W., Ou, M., Gong, C., Jia, W. (2019) Monitoring of the pesticide droplet deposition with a novel capacitance sensor.Sensors19(3), 537.
31.Peteinatos, G., Kollenda, B.,Wang, P.*, Gerhards, R. (2019) A new logarithmic sprayer for dose-reponse studies in the field.Computers and Electronics in Agriculture157(2), 166-172.
32.Appah, S.,Wang, P.*, Ou, M., Gong, C., Jia, W.* (2019) Review of electrostatic system parameters, charged droplets characteristics and substrate impact behavior from pesticides spraying.International Journal of Agricutural and Biological Engineering12(2), 1-9.
33.Li, H., Travlos, I., Qi, L., Kanatas, P.,Wang, P.* (2019) Optimization of herbicide use: study on spreading and evaporation characteristics of glyphosate-organic silicone mixture droplets on weed leaves.Agronomy9(9), 547.
34.Wu, Y., Qi, L.*, Zhang, H., Musiu, E.M., Yang, Z.,Wang, P.(2019) Design of UAV downwash airflow field detection system based on strain effect principle.Sensors19(11), 2630.
35.Appah, S., Zhou, H.,Wang, P., Ou, M., Jia, W.* (2019) Charged monosized droplet behaviour and wetting ability on hydrophobic leaf surfaces depending on surfactant-pesticide concentrate formulation.Journal of Electrostatics100, 103356.
36.Appah, S., Jia, W.*, Ou, M.,Wang, P., Gong, C. (2019). Investigation of optimum applied voltage, liquid flow pressure, and spraying height for pesticide application by induction charging.Applied Engineering in Agriculture, 35(5), 795-804.
37.Wang, P.*, Li, H., Jia, W., Chen, Y., Gerhards, R. (2018) A fluorescence sensor capable of real-time herbicide effect monitoring in greenhouses and the field.Sensors18(11), 3771.
38.Wang, P.*, Li, H., Gerhards, R. (2018). A novel chlorophyll fluorescence sensor for real-time herbicide effect monitoring. 2018 ASABE Annual International Meeting, Detroit, USA. (Oral presentation)
39.Wang, P.*, Li, H., Jia, W., Gong, C., Qi, L. (2018). Droplets’ evaporation and spread features on leaves with hairy, waxy and rough surface characters. 2018 ASABE Annual International Meeting, Detroit, USA. (Oral presentation)
40.Li, H.,Wang, P.*, Jia, W., Ou, M., Qi, L. (2018). Recognition of weeds and cucumber seedlings in glasshouses based on radial basis support vector machine. 2018 ASABE Annual International Meeting, Detroit, USA. (Poster presentation)
41.Li, H.,Wang, P.*, Weber, J.F., Gerhards, R. (2018) Early identification of herbicide stress on soybean (Glycine max(L.) Merr.) using chlorophyll fluorescence imaging technology in field practice.Sensors18(1), 21.
42.Wang, P., Peteinatos, G., Li, H., Braendle, F., Pfuendel, E., Drobny, H.G., Gerhards, R.* (2018) Rapid stress monitoring onAlopecurus myosuroidesusing chlorophyll fluorescence imaging technology.Journal of Plant Diesease and Protection125(2), 187-195.
43.Wang, P., Peteinatos, G.*, Gerhards, R. (2017) In field identification of herbicide resistantApera spica-ventiusing chlorophyll fluorescence.Advances in Animal Biosciences8, 283-287. (Oral presentation at ECPA 2017 in Edinburgh, UK, awarded with the Young Scientist Grant)
44.Wang, P.*, Peteinatos, G., Li, H., Gerhards, R. (2016) Rapid in-season detection of herbicide resistantAlopecurus myosuroidesusing a mobile fluorescence sensor.Crop Protection89, 170-177.
45.Wang, P.*, Peteinatos, G., Li, H., Gerhards, R. (2016) Temperature effects on chlorophyll fluorescence ofAlopecurus myosuroides. 7th International Weed Science Congress, Prague, Czech Republic.
46.Koecher, C.*, Braendle, F.,Wang, P., Pfuendel, E., Drobny, H.G., Gerhards, R. (2016) QWERT® – a innovative system to reduce weed resistance in-season. 7th International Weed Science Congress, Prague, Czech Republic. (Poster presentation)
47.Wang, P.*, Li, H., Gerhards, R. (2016) Chlorophyll fluorescence response to herbicide stress inAlopecurus myosuroides. Proceedings 27th German Conference on Weed Biology and Weed Control, February 23-25, 2016, Braunschweig, Germany. pp. 57-67. (Oral presentation)
48.Wang, P.*, Kaiser, Y., Menegat, A., Gerhards, R. (2015) Weed PAM: A herbicide resistance detector. 17th European Weed Research Society Symposium, Montpellier, France, June 23-26, 2015. (Poster presentation)
49.李慧,祁力钧*,王沛. (2014)悬挂式常温烟雾机气流场与雾滴沉积三维模拟.农业机械学报, 45(6): 103-109, 122. (EI)
50.王沛,祁力钧*,李慧,冀荣华,王虎. (2013)植物叶片表面结构对雾滴沉积的影响规律研究.农业机械学报, 44(10): 75-79. (EI)
51.祁力钧*,梁霞,冀荣华,王俊,李慧,王沛. (2013)基于超声波传感技术的温室草莓冠层三维重构与测量.农业机械学报,44(9): 193-197.(EI)
52.祁力钧,王沛*,张建华,李慧,冀荣华,王俊. (2012)杂草叶片表面结构对雾滴铺展和蒸发的影响.排灌机械工程学报, 30(3): 335-340. (EI，通讯作者，导师为第一作者)
53.张建华,祁力钧*,冀荣华,王虎,黄士凯,王沛. (2012)基于粗糙集和BP神经网络的棉花病害识别.农业工程学报, 28(7): 161-167. (EI)
54.张建华*,祁力钧,冀荣华,王虎,黄士凯,王沛. (2011)作物病虫害信息获取方法研究与展望.农业工程学会2011年年会,重庆,中国, 10月21-23日, 2011.
1.王沛,王丽红,牛琪,王保帅,李秋生,王恒.一种果园环状切根机.（发明专利,专利号: ZL202110503662.0）
2.牛琪,谢守勇,周百冬,李成松,李明生,刘凡一,孙玉华,王沛.马铃薯播种机.（发明专利,专利号: ZL202111170841.3）
3.陈子文;李谊阳;李强;杨宇帆;廖子麒;郭聪;王沛;余永.果树冠层径向动态仿形对靶喷药机器人及其仿形对靶方法.（发明专利，专利号: ZL201910932651.7）
4.牛琪,李业鑫,李成松,王丽红,王沛,李慧,卓鹏,周百冬,曹烈旺,熊丕荣,宋杰威.一种基于路径规划的多自由度花椒枝自动切割装置.（发明专利,专利号: ZL202110797685.7）
5.贾卫东,于伟,欧鸣雄,王沛,毛广阳.一种植保机械喷雾作业雾滴沉积量在线检测系统及方法.（发明专利,专利号: ZL201810038570.8）
6.祁力钧,梁霞,李慧,冀荣华,王沛,王俊.一种温室草莓冠层三维重构与测量装置及方法.（发明专利,专利号: ZL201210535141.4）
7.肖然,王沛,黄宇瑜,吴朋芯,陈维月.厨余垃圾堆肥机运行监测系统.（软件著作权, No. 2024SR1552580）
8.谭佳佳,王沛,李慧,刘赵玉,黄宇瑜,陈维月.玉米病虫智析系统.（软件著作权, No. 2024SR1235856）
9.杨宇衡,谭佳佳,王沛,李慧,唐松,刘君红,王文宝.玉豆智护平台.（软件著作权, No. 2024SR0842498）
10.杨宇衡,谭佳佳,李慧,马子慧,王文宝,王沛.玉米南方锈病和北方锈病图像特征识别系统.（软件著作权, No.2023SR0378349）
11.王沛,吴朋芯,万龙,张文彬,李慧,李成松,王丽红.种鸡健康识别软件.（软件著作权, No.2022SR0941496）
12.王沛,唐印,李慧,罗帆,李成松,王丽红,牛琪.自动化杂草识别软件.（软件著作权, No. 2022SR0582177）
13.李慧,罗帆,王沛,李成松,王丽红,牛琪.自动化树冠识别软件.（软件著作权, No. 2022SR0586655）
14.王沛,罗帆,李慧,李成松,王丽红,牛琪.自动化柑橘害虫识别软件.（软件著作权, No. 2022SR0151359）
15.王沛,李慧,祁力钧,张建华,冀荣华.雾滴叶面铺展图片分割与面积计算系统.（软件著作权, No. 2012SRBJ1146）
16.张建华,祁力钧,李慧,冀荣华,王沛.棉花盲蝽蟓检测系统.（软件著作权, No. 2012SRBJ1145）
农业机械化管理（双语、国家级一流本科课程、重庆市一流本科课程）、Precision Agriculture（全英文）、智慧农业、生物学概论、工程伦理学（本科生、研究生）
1.《农业机械化管理学》，中国农业出版社，2022年（农业农村部普通高等教育“十三五”规划教材、全国农业教育优秀教材）
2.《农业物联网》，高等教育出版社，2025年（教育部智慧农业“101计划”核心教材）
1.国家级一流本科课程，农业机械化管理，2025.08；
2.西南大学专业核心课程建设项目，农业机械化管理，2021.01-2022.12；
3.重庆市一流本科课程，农业机械化管理，2022.02；
4.全国农业教育优秀教材，《农业机械化管理学》，2023.12；
5.重庆市教师教学创新大赛三等奖，农业机械化管理，2024.04；
6.西南大学教学改革项目，一流专业建设背景下的农业机械化管理课程建设与实践，2021.07-2022.06；
7.教育部产学协同合作育人项目，丘陵山地农业机械化管理虚拟仿真实践平台设计，2022.01-2022.12；
8.重庆市教委本科高校课程思政示范建设项目，工程伦理学，2022.07-2027.07.
9.牛琪,李慧,李云伍,李成松,陈建,王沛*. (2024).农业机械化管理教学改革探索与实践.智慧农业导刊(24).
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