教授风采

周俊

来源: 日期:2020-11-15 点击数:


姓 名

周俊

性别

职 称

教授

系别

农业工程

学 位

博士/博导

电话

13914467155

E-mail

zhoujun@njau.edu.cn

单位地址

南京市浦口区点将台路40号

邮编

210031

研究领域

农业机器人,农业智能化技术装备,机器视觉,精准农业装备

社会兼职

《农业工程学报》第八届编委会委员,农业装备创新设计产业联盟常务理事,中国农业机械学会基础技术分会第十届委员

承担项目

1. 江苏省现代农机装备与技术示范与推广项目“水稻田间作业全程“无人化”智能装备与技术推广应用(编号:NJ2020-61)”

2.国家重点研发计划项目“电动拖拉机智能化操控与作业关键技术研究及核心零部件研制(编号: 2016YFD0701003)”;

3. 国家重点研发计划项目子课题“滩涂菊芋高效采收技术与装备研发(编号: 2019YFD0900701)”;

4. 国家重点研发计划项目子课题“滩涂种养殖的智能信息化系统研发(编号: 2019YFD0900705)”;

5. 国家自然科学基金面上项目“粘弹性农业物料机器人抓取模型辨识及主动柔性控制(编号:31471419)”;

6. 江苏省重点研发计划项目“多功能自走式果园管理机器人研发(编号: BE2017370 )”;

7. 江苏省农机三新工程项目“设施农业智能电动动力装备研发及其规范作业研究(编号:NJ2019-29)”

8. 国家重点研发计划项目“精准定位播种作业决策系统研究(编号: 2017YFD0700502-2)”;

9. 国家自然科学基金面上项目“农业机器人动态作业场景概率图模型研究(编号:31071325)”;

10. 江苏省农机三新工程项目“履带自走式温室电动耕整播种铺膜作业机械(平台)研发(编号:NJ2017-09)”;

11. 江苏省苏北科技专项计划项目“基于北斗的智能水田旋耕平地一体机开发(编号:SZ-LYG2017009)”

12. 江苏省农机三新工程项目“谷物联合收获机自动导航及测产系统开发与应用(编号:NJ2015-10)”;

13. 国家863计划项目“移动式果蔬采摘机器人关键技术研究(编号:2006AA10Z259)”;

14. 国家863计划项目“水稻收获机械智能测产系统的研究开发(编号:2006AA10A305)” ;

15. 教育部博士点基金博导类项目“可变形易损伤农业物料机器人抓取研究(编号:20130097110043)”;

16. 江苏省自然科学基金面上项目“基于立体视觉导航农业机器人大尺度地形推理研究(编号:BK2010458)” ;

17. 农业部现代农业装备重点实验室开放课题“密植果园作业农业机械定位与导航方法研究(编号:201302003)” ;

18. 苏州市农业科技支撑项目“基于无线传感网络的智能温室信息监测系统集成示范(编号:SN201003)” 。

19. 国家863计划项目子课题“农田作业机械智能导航控制技术与产品研发”(编号:2006AA10A304);

20. 教育部科学技术研究重点项目“基于机器视觉的农业机械自动导航和控制系统研究”(编号:03091);

21. 上海市科技兴农引进消化吸收再创新项目“青菜制种生产机械的引进消化吸收与再创新(编号:沪农科引字(2011)第5号)”;

22. 中国农业大学南京农业大学青年教师开放基金项目“基于立体视觉的农业机器人自主导航研究”(编号:NC2008008)。

学术成果

一、近年来发表的论文:

1. Idris Idris Sunusi, Jun Zhou, Zhen Zhen Wang, et al. Intelligent tractors: review of online traction control process. Computers and Electronics in Agriculture, 170 (2020) 105176

2. Xuesheng Zhou, Jun Zhou. Data-driven driving state control for unmanned agricultural logistics vehicle. IEEE Access, 2020, 8: 65530-65543

3. 周俊,许建康,王耀羲,等. 基于 GNSS 的智能水田旋耕平地机研究. 农业机械学报,2020,51(4):38-43

4. Xuesheng Zhou, Jun Zhou.The tracking control study of distributed electric-driven agricultural vehicles based on real-time online estimation. Advances in Mechanical Engineering, 2019, 11(5) 1–12

5. Baohua Zhang, Jun Zhou, Yimeng Meng, Na Zhang, Baoxing Gu, Zhenghong Yan, Sunusi Idris Idris. Comparative study of mechanical damage caused by a two-finger tomato gripper with different robotic grasping patterns for harvesting robots. Biosystems Engineering, 2018,171: 245-257

6. Xuesheng Zhou, Jun Zhou, et al. The control of high-clearance electric vehicles based on pavement parameter estimations. Advances in Mechanical Engineering, 2018, 10(7) 1–17

7. Tao Yongting, Zhou Jun. Automatic apple recognition based on the fusion of color and 3D featurefor robotic fruit picking. Computers and Electronics in Agriculture, 2017, 142: 388-396

8. Yongting Tao, Jun Zhou, Mingjun Wang, Na Zhang, Yimeng Meng. An optimum strategy for robotic tomato grasping based on real-time viscoelastic parameters estimation. International Journal of Advanced Robotic Systems, Thursday, August 10, 2017,Volume 14,Issue 4

9. Jun Zhou, Yimeng Meng, Mingjun Wang, Muhammad Sohail Memon, Xiaorong Yang. Surface roughness estimation by optimal tactile features for fruits and vegetables. International Journal of Advanced Robotic Systems, Thursday, July 20, 2017,Volume 14,Issue 4

10. Tian Guangzhao, Zhou Jun, Gu Baoxing. Slipping detection and control in gripping fruits and vegetables for agricultural robot. Int J Agric & Biol Eng, 2018, 11(4): 45-51

11. Baohua Zhang, Dejian Dai, Jichao Huang, Jun Zhou, Qifa Gui & Fang Dai. Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review. Critical Reviews in Food Science and Nutrition 2018,58(12): 2099-2118

12. Baohua Zhang, Baoxing Gu, Guangzhao Tian, Jun Zhou, Jichao Huang, Yingjun Xiong. Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review. Trends in Food Science & Technology, 2018, 81: 213-231

13. Baohua Zhang, Longshen Liu, Baoxing Gu, Jun Zhou, Jichao Huang, Guangzhao Tian. From hyperspectral imaging to multispectral imaging: Portability and stability of HIS-MIS algorithms for common defect detection. Postharvest Biology and Technology , 2018, 137: 95-105

14. 熊迎军,周俊,韦玮,等.嵌入式谷物流量传感器设计与试验. 农业工程学报,2018,34(5):39-46

15. 周俊,张娜,孟一猛,王明军.番茄粘弹性参数机器人抓取在线估计.农业机械学报,2017, 48(8):26-32

16. 周俊,孟一猛,张娜,严正红.机械手不同抓取控制方式对番茄机械损伤的影响分析.农业机械学报,2017, 48(11):21-27

17. 熊迎军,周俊,韦玮,沈明霞,张保华.嵌入式谷物流量传感器设计与试验.农业工程学报,2018,34(5):39-46.

18. 毛家稳,周俊,梁洋洋.电驱动高地隙车辆滑转率滑模控制研究.中国农业大学学报,2017,22(2):129-134

19. 梁洋洋,周俊,毛家稳,孙向楠.电驱动拖拉机功率平衡控制策略设计与仿真.中国农机化学报,2016,37(8):132-135

20. 陶镛汀,周俊,孟一猛,等.果蔬表面粗糙度特性检测触觉传感器设计与试验.农业机械学报,2015, 46(11):16-21

21. Jun Zhou, Binghua Cong, Chengliang Liu. Elimination of vibration noise from an impact-type grain mass flow sensor. Precision Agriculture, 2014, 15:627–638

22. 周俊,胡晨.密植果园作业机器人行间定位方法.农业机械学报,2015,46(11):22-28

23. 张莹莹,周俊.基于激光雷达的果园树干检测.中国农业大学学报,2015,20(5):249-255

24. 周俊,朱金荣,王明军.基于条件随机场的梨园场景图像分割方法.农业机械学报,2015,46(2):8-13

25. 屠珺,王明军,周俊,等.基于贝叶斯核主成分分析的远距离地形标记方法.机器人,2012,34(1):1-8

26. 周俊,陈钦,梁泉.基于强化学习的农业移动机器人视觉导航.农业机械学报,2012,45(2):53-58

27. 李盛辉,周俊,姬长英,等.基于全景视觉的智能农业车辆运动障碍目标检测.农业机械学报,2013,44(12):239-244

28. 周俊,王明军,邵乔林.农田图像绿色植物自适应分割方法.农业工程学报,2013,29(18):163-170

29. 姬长英,周俊.农业机械导航技术发展分析.农业机械学报,2014,45(9):44-54

30. 丛秉华,周俊.双平行梁谷物流量传感器振动噪声消除方法.传感器技术学报,2013,26(3):377-381

31. 李盛辉,田光兆,姬长英,周俊,等.自主导航农业车辆的全景视觉多运动目标识别跟踪.农业机械学报,2015,46(1):1-7

32. 周俊,朱树平.农业机器人果蔬抓取中滑觉检测研究.农业机械学报,2013,44(2):171-175

33. 王明军,屠珺,周俊,刘成良.基于帧图像语义上下文的地形推理策略.机器人,2012,34(3):299-306

34. 周俊,张高阳,刘锐.基于粒子滤波的苹果采摘机器人目标姿态估算.农业机械学报,2011,42(3):161-165

35. 周俊,程嘉煜.基于机器视觉的农业机器人运动障碍目标检测.农业机械学,2011,42(8):154-158

36. 周俊,张鹏,刘成良.基于时间序列分析的卡尔曼滤波组合导航算法.农业工程学报,2010,26(12):254-258

37. 周俊,刘锐,张高阳.基于立体视觉的水果采摘机器人系统设计.农业机械学报,2010,41(6):158-162

38. 王明军,周俊,屠珺,刘成良.基于条件随机场的大范围地形感知框架.机器人,2010,32(3):326-333

39. 刘成良,周俊,苑进,黄丹枫.新型冲量式谷物联合收割机智能测产系统.中国科学:信息科学,2010,44:226-231

40. 屠珺,刘成良,李彦明,周俊.基于光照无关图的苹果图像识别方法.农业工程学报,2010,26(S2)26-31

41. 周俊,张鹏.基于灰色预测的农业机器人GPS导航系统硬故障隔离.农业机械学报,2010,41(12):165-168

42. 周俊,张鹏,宋百华,农业机械导航中的GPS定位误差分析与建模.农业机械学报,2010,41(4):189-192

43. 王学林,姬长英,周俊,等.基于灰色预测控制的果蔬抓取系统设计与试验.农业工程学报,2010,26(3):112-117

44. 王学林,周俊,姬长英,等.基于力矩外环的软物体抓取控制.控制工程,2010,17(2):232-235

45. Mingjun Wang, Jun Zhou. Learning Long-range Terrain Perception for Autonomous Mobile Robots. International Journal of Advanced Robotic Systems,2010,7(1):55-66

46. 安秋,李志臣,姬长英,周俊.基于光照无关图的农业机器人视觉导航算法.农业工程学报,2009,25(11):208-212

47. 周俊,姬长英.水稻直播用精播绳制造设备研制.农业工程学报,2009,25(7):79-83

48. 周俊,姬长英.水稻精播绳制造设备的设计及大田试验.中国农业大学学报,2009,14(2):98-102

49. Mingjun Wang, Jun Zhou. Large-scale conditional random field for natural outdoor scene labeling. Optical Engineering,2009,48(10):107205-1-10

50. 王学林,周俊,姬长英.基于卡尔曼滤波的RBF神经网络和PD复合控制研究.计算机测量与控制,2009,17(8):1551-1553

51. 王友权,周俊,姬长英.农用轮式移动机器人灰色预测控制.农业机械学报,2008,39(12):213-215

52. 王友权,周俊,姬长英.基于自主导航和全方位转向的农用机器人设计.农业工程学报,2008,24(7):110-113

53. 安秋,姬长英,周俊.基于CAN总线的农业移动机器人分布式控制网络.农业机械学报,2008,39(6):123-126

54. 周俊,刘成良.平行梁冲量式谷物质量流量传感器信号处理方法.农业工程学报,2008,24(1):183-187

55. Mingjun Wang, Chengliang Liu, Jun Zhou. Coordinating control for an agricultural vehicle with individual wheel speeds and steering angles. IEEE control system magazine, 2008,October, 21-24

56. 黄亦其,姬长英,周俊,赵小波.基于遗传算法的车用永磁式缓速器设计优化方法.机械强度,2008,30(4):612-616

57. 赵小波,周俊,姬长英,黄亦其.车用永磁式缓速器研究现状与展望.拖拉机与农用运输车,2007,34(5):6-8

58. 周俊,刘成良.平行梁冲量式谷物质量流量传感器弹性元件设计.农业工程学报,2007,23(4):110-114

59. 周俊,苗玉彬,张凤传,刘成良.基于平行梁结构谷物流量传感器测产系统田间实验研究.农业机械学报,2006,37(6):102-105

60. 周俊,姬长英,刘成良.农用轮式机器人视觉导航系统研究.农业机械学报,2005,36(3):90-94

61. 周俊,刘成良,姬长英.农用轮式移动机器人相对位姿的求解方法.中国图象图形学报,2005,10(3):310-314

62. 周俊,刘成良.悬臂梁冲量式谷物质量流量传感器阻尼设计.农业机械学报,2005,36(3):121-123

63. 周俊,刘成良,姬长英.农业机器人视觉导航的预测跟踪控制方法研究.农业工程学报,2004,20(6):106-110

64. 周俊,姬长英.视觉导航中多分辨率路径识别.农业机械学报,2003,34(6):120-123

65. Zhou Jun,Ji Changying,Liu Chengliang. Relative pose measure for agriculture vehicle guided by machine vision. Transaction of CSAE, 2006,26(6): 110-114

66. 周俊,姬长英.智能车辆横向控制研究.机器人,2003,25(1):26-30

67. 周俊,姬长英.基于知识的视觉导航农业机器人行走路径识别.农业工程学报,2003,19(6):101-105

68. 周俊,姬长英.自主车辆导航中的多传感器融合技术.农业机械学报,2002,33(5):113-116

69. 周俊,姬长英.视觉导航轮式移动机器人横向预测模糊控制.农业机械学报,2002,33(6):76-79

70. 周俊,姬长英.基于视觉导航的轮式移动机器人横向最优控制.机器人,2002,24(3):209-212

二、授权专利

1. 熊迎军,周俊,张波,等. 一种冲量式谷物流量传感器信息采集处理装置,发明专利授权号:ZL201710820252.2

2. 周俊,薛梁. 一种手持式自动采棉机,发明专利授权号:ZL201510294418.2

3. 周俊,苗玉彬,刘成良.谷物质量流量传感器,发明专利授权号:ZL200510027054.8

4. 周俊,姬长英. 一种农用智能移动机器人平台,发明专利授权号:ZL200810122931.3

5. 周俊,姬长英. 一种水稻直播用精播绳制造设备,发明专利授权号:ZL200710190968.5

6. 周俊,黄亦其,姬长英. 制动力矩无级调节永磁式缓速器,发明专利授权号:ZL200710019389.4

奖励荣誉

2010年获中国农业机械学会优秀论文一等奖

2011年获国家科技进步二等奖1项(土壤作物信息采集与肥水精量实施关键技术及装备)

2013年获中国农业机械学会50年百篇优秀论文奖

2008年入选江苏省高等学校青蓝工程优秀青年骨干教师

2012年入选江苏省高等学校青蓝工程中青年学术带头人

2019年获南京农业大学超大奖教金

Name

Zhou Jun

Gender

Male

Title

Professor

Department

Agricultural Engineering

Degree

Ph.D

Telephone

(+86)13914467155

E-mail

zhoujun@njau.edu.cn

Unit address

No 40, Dianjiangtai Road, Pukou, Nanjing, China.

Post code

210031

Research field

Agricultural robot and automation, Agricultural mechanization, Machine vision, Precision agriculture

Social appointments

Member of the eighth editorial board of Transactions of the Chinese Society of Agricultural Engineering Executive director of Agricultural Equipment Innovation and Design Industry Alliance,Member of basic technology branch of China Society forAgricultural Machinery

Research projects

1. National key R&D project "Research on key technology of intelligent control and operation of electric tractor and development of core parts ( 2016YFD07010003)";

2. The sub-project of National key R&D Program "Research and development of high efficiency harvesting technology and equipment for Jerusalem artichoke on beach ( 2019YFD0900701)";

3. The sub-project of National key R&D Program “Research and development of intelligent information system for beach farming (2019YFD0900705)”;

4. National Natural Science Foundation of China "Grasping model identification and active flexible control of viscoelastic agricultural material robot (31471419)";

5. Key R&D project of Jiangsu province "Research and development of multifunctional self-propelled orchard management robot (BE2017370)";

6. Jiangsu agricultural machinery project "Research and development of intelligent electric power equipment for facility agriculture and its standardized operation research (NJ2019-29)"

7. National key R&D project "Research on precision positioning sowing operation decision system (2017YFD0700502-2)";

8. National Natural Science Foundation of China "Research on probability map model of dynamic operation scene of agricultural robot (31071325)";

9. Jiangsu agricultural machinery project "Research and development of crawler self-propelled greenhouse electric tillage, sowing and film laying machine (platform) (NJ2017-09)";

10. North Jiangsu science and technology plan "Development of intelligent paddy field rotary tiller and grader based on Beidou (SZ-LYG2017009)"

11. Jiangsu agricultural machinery project ”Development and application of automatic navigation and yield measurement system for grain combine harvester (NJ2015-10) ;

12. National 863 Program "Research on key technology of mobile fruit and vegetable picking robot (2006AA10Z259)";

13. National 863 Program "Research and development of intelligent yield measurement system for rice harvester (2006AA10A305)";

14. Doctoral program of Ministry of Education "Research on robot grasping of deformable and easily damaged agricultural materials (20130097110043)";

15. The project of Jiangsu Natural Science Foundation "Research on large scale terrain reasoning of agricultural robot based on stereo vision navigation (BK2010458)";

16. Project of key laboratory of modern agricultural equipment of Ministry of Agriculture "Research on positioning and navigation method of agricultural machinery for close planting orchard operation (201302003)";

17. Agricultural science and technology project of Suzhou "Integration demonstration of intelligent greenhouse information monitoring system based on wireless sensor network (SN201003)".

18. Sub-project of National 863 Program "Intelligent navigation control technology and product research and development of farm operation machinery" (2006AA10A304);

19. Key project of science and technology of Ministry of Education "Research on automatic navigation and control system of agricultural machinery based on machine vision" (03091);

Academic achievements

1.     Zhenzhen Wang, Jun Zhou, Xu Wang, IdrisidrisSunusi. Design and Verification of a ModularReconfigurable TestPlatform for Electric Tractors. Applied Sciences, 2021,18 ,1881

2.     OpiyoSamwel, Jun Zhou, Wanjiku Emmy, Wang Kai, and SunusiIdris. A Review on Teleoperation of Mobile Ground Robots: Architecture and Situation Awareness.  International Journal of Control, Automation, and Systems, vol. 19, no. 3, pp. 1384-1407, March 2021

3.     BaohuaZhang,YuanxinXie, JunZhou, KaiWang, ZhenZhang. State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. Computers and Electronics in Agriculture, 2020, 177,105694

4.     IdrisIdrisSunusi, Jun Zhou, ZhenZhen Wang, et al. Intelligent tractors: review of online traction control process. Computers and Electronics in Agriculture, 170 (2020) 105176

5.     Xuesheng Zhou, Jun Zhou. Data-driven driving state control for unmanned agricultural logistics vehicle. IEEE Access, 2020, 8: 65530-65543

6.     Xuesheng Zhou, Jun Zhou.The tracking control study ofdistributed electric-driven agriculturalvehicles based on real-time onlineestimation. Advances in Mechanical Engineering, 2019, 11(5) 1–12

7.     Baohua Zhang, Jun Zhou, YimengMeng, Na Zhang, BaoxingGu, Zhenghong Yan, SunusiIdrisIdris. Comparative study of mechanical damage caused by a two-finger tomato gripper with different robotic grasping patterns for harvesting robots.BiosystemsEngineering,2018, 171: 245-257

8.     Xuesheng Zhou, Jun Zhou, et al. The control of high-clearance electricvehicles based on pavement parameterestimations. Advances in Mechanical Engineering, 2018, 10(7) 1–17

9.     Tao Yongting, Zhou Jun. Automatic apple recognition based on the fusion of color and 3D featurefor robotic fruit picking. Computers and Electronics in Agriculture, 2017, 142: 388-396

10.  Yongting Tao, Jun Zhou, Mingjun Wang, Na Zhang, YimengMeng. An optimum strategy for robotic tomato grasping based on real-time viscoelastic parameters estimation. International Journal of Advanced Robotic Systems, Thursday, August 10, 2017,Volume 14,Issue 4

11.  Jun Zhou, YimengMeng, Mingjun Wang, Muhammad SohailMemon, Xiaorong Yang. Surface roughness estimation by optimal tactile features for fruits and vegetables. International Journal of Advanced Robotic Systems, Thursday, July 20, 2017,Volume 14,Issue 4

12.  TianGuangzhao, Zhou Jun, GuBaoxing. Slipping detection and control in gripping fruits and vegetables for agricultural robot. Int J Agric&BiolEng, 2018, 11(4): 45-51

13.  Baohua Zhang, Dejian Dai, Jichao Huang, Jun Zhou, QifaGui& Fang Dai. Influence of physical and biological variability andsolution methods in fruit and vegetable qualitynondestructive inspection by using imaging andnear-infrared spectroscopy techniques: A review. Critical Reviews in Food Science and Nutrition 2018,58(12):2099-2118

14.  Baohua Zhang, BaoxingGu, GuangzhaoTian, Jun Zhou, Jichao Huang, YingjunXiong. Challenges and solutions of optical-based nondestructive quality inspectionfor robotic fruit and vegetable grading systems: A technical review. Trends in Food Science & Technology, 2018, 81: 213-231

15.  Baohua Zhang, Longshen Liu, BaoxingGu, Jun Zhou, Jichao Huang, GuangzhaoTian. From hyperspectral imaging to multispectral imaging: Portability andstability of HIS-MIS algorithms for common defect detection. Postharvest Biology and Technology , 2018, 137: 95-105

16.  Jun  Zhou, Binghua Cong, Chengliang Liu. Elimination of vibration noise from an impact-type grain mass flow sensor. Precision Agriculture, 2014, 15:627–638

17.  Mingjun Wang, Jun Zhou. Learning Long-range Terrain Perception for Autonomous Mobile Robots.  International Journal of Advanced Robotic Systems,2010,7(1):55-66

18.  Mingjun Wang, Chengliang Liu, Jun Zhou. Coordinating control for an agricultural vehicle with individual wheel speeds and steering angles. IEEE control system magazine, 2008,October, 21-24

Zhou Jun,JiChangying,Liu Chengliang.  Relative pose measure for agriculture vehicle guided by machine vision. Transaction of CSAE, 2006,26(6): 110-114


Reward & honor

1. In 2010, the first prize of excellent paper of Chinese Society for Agricultural Machinery

2. Second prize of National Science and Technology Progress Award in 2011 (Key technology and equipment of soil-crop information collection and precision application of fertilizer and water)

3. In 2013, the award of 100 excellent papers of Chinese Society for Agricultural Machinery in 50 years

4. Chaoda teaching award of Nanjing Agricultural University in 2019

版权所有:南京农业大学工学院

地址:江苏省南京市浦口区点将台路40号

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