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周俊

Professor Supervisor of Doctorate Candidates

School/Department: College of Engineering
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Professional Title:Professor
Alma Mater:南京农业大学

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Paper Publications Home >> Scientific Research >> Paper Publications: SUNUSI IDRIS IDRIS,周俊,汪珍珍,孙晨阳,IbrahimEltayebIbrahim,OPIYO SAMWEL OLAKA,Tchallakorohou,ShakeelAhmedSoomro,NuraAlhajiSale,OlanrewajuT O.Intelligent tractors: Review of online traction control process,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,170:-(Correspondence Author)

张保华,谢袁欣,周俊,王凯,张震.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:-(Correspondence Author)

毛诗涵,李玉花,马游,张保华,周俊,王凯.Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,170:-(Participating authors)

陈艺,张保华,周俊,王凯.Real-time 3D unstructured environment reconstruction utilizing VR and Kinect-based immersive teleoperation for agricultural field robots,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,175:-(Participating authors)

周学升,周俊.Data-Driven Driving State Control for Unmanned Agricultural Logistics Vehicle,IEEE ACCESS,2020,8:65530-65543(Correspondence Author)

谢袁欣,张保华,周俊,白宇豪,张萌.An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests,SENSORS,2020,20(17):-(Participating authors)

周俊,许建康,王耀羲,梁友斌.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(First and corresponding author)

张波,周俊.基于模糊神经网络的拖拉机耕作牵引阻力预测研究,甘肃农业大学学报,2020,55(1):213-(Correspondence Author)

周学升,周俊.The tracking control study of distributed electric-driven agricultural vehicles based on real-time online estimation,ADVANCES IN MECHANICAL ENGINEERING,2019,11(5):-(Correspondence Author)

白宇豪,熊迎军,黄继超,周俊,张保华.Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features,POSTHARVEST BIOLOGY AND TECHNOLOGY,2019,156:-(Participating authors)

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