Determination of soluble solid content in multi-origin 'Fuji' apples by using FT-NIR spectroscopy and an origin discriminant strategy. - Xiaona Li; Jichao Huang; Yingjun Xiong; Jun Zhou 015; Xiangyu Tan; Baohua Zhang 001 (Comput. Electron. Agric., 2018)

Automated robust crop-row detection in maize fields based on position clustering algorithm and shortest path method. - Xiya Zhang; Xiaona Li; Baohua Zhang 001; Jun Zhou 015; Guangzhao Tian; Yingjun Xiong; Baoxing Gu (Comput. Electron. Agric., 2018)

Comparative Study of Two Different Strategies for Determination of Soluble Solids Content of Apples From Multiple Geographical Regions by Using FT-NIR Spectroscopy. - Guangzhao Tian; Xiaona Li; Baohua Zhang 001; Jun Zhou 015; Baoxing Gu (IEEE Access, 2019)

Automatic Recognition of Ripening Tomatoes by Combining Multi-Feature Fusion with a Bi-Layer Classification Strategy for Harvesting Robots. - Jingui Wu; Baohua Zhang 001; Jun Zhou 015; Yingjun Xiong; Baoxing Gu; Xiaolong Yang (Sensors, 2019)

MI-FGSM on Faster R-CNN Object Detector. - Zhenghao Liu; Wenyu Peng; Jun Zhou 015; Zifeng Wu; Jintao Zhang; Yunchun Zhang (ICVIP, 2020)

Real-time 3D unstructured environment reconstruction utilizing VR and Kinect-based immersive teleoperation for agricultural field robots. - Yi Chen; Baohua Zhang 001; Jun Zhou 015; Kai Wang (Comput. Electron. Agric., 2020)

Pose estimation and adaptable grasp configuration with point cloud registration and geometry understanding for fruit grasp planning. - Ning Guo; Baohua Zhang 001; Jun Zhou 015; Ketian Zhan; Shuang Lai (Comput. Electron. Agric., 2020)

Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion. - Shihan Mao; Yuhua Li; You Ma; Baohua Zhang 001; Jun Zhou 015; Kai Wang (Comput. Electron. Agric., 2020)

State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. - Baohua Zhang 001; Yuanxin Xie; Jun Zhou 015; Kai Wang; Zhen Zhang (Comput. Electron. Agric., 2020)

Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods. - Baohua Zhang 001; Ning Guo; Jichao Huang; Baoxing Gu; Jun Zhou 015 (J. Sensors, 2020)

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests. - Yuanxin Xie; Baohua Zhang 001; Jun Zhou 015; Yuhao Bai; Meng Zhang (Sensors, 2020)

3D point cloud semantic segmentation toward large-scale unstructured agricultural scene classification. - Yi Chen; Yingjun Xiong; Baohua Zhang 001; Jun Zhou 015; Qian Zhang (Comput. Electron. Agric., 2021)

Hardness recognition of fruits and vegetables based on tactile array information of manipulator. - Zhen Zhang; Jun Zhou 015; Zhenghong Yan; Kai Wang; Jiamin Mao; Zizhen Jiang (Comput. Electron. Agric., 2021)

Dexterous robotic grasping of delicate fruits aided with a multi-sensory e-glove and manual grasping analysis for damage-free manipulation. - Wei Zheng; Yuanxin Xie; Baohua Zhang 001; Jun Zhou 015; Jintao Zhang (Comput. Electron. Agric., 2021)

Mobile LiDAR Scanning System Combined with Canopy Morphology Extracting Methods for Tree Crown Parameters Evaluation in Orchards. - Kai Wang; Jun Zhou 015; Wenhai Zhang; Baohua Zhang 001 (Sensors, 2021)

Real-time, highly accurate robotic grasp detection utilizing transfer learning for robots manipulating fragile fruits with widely variable sizes and shapes. - Boyuan Cao; Baohua Zhang 001; Wei Zheng; Jun Zhou 015; Yihuan Lin; Yuxin Chen (Comput. Electron. Agric., 2022)

Recent developments and applications of simultaneous localization and mapping in agriculture. - Haizhou Ding; Baohua Zhang 001; Jun Zhou 015; Yaxuan Yan; Guangzhao Tian; Baoxing Gu (J. Field Robotics, 2022)

Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots. - Wei Zheng; Ning Guo; Baohua Zhang 001; Jun Zhou 015; Guangzhao Tian; Yingjun Xiong (Sensors, 2022)

A flexible swallowing gripper for harvesting apples and its grasping force sensing model. - Zhen Zhang; Jun Zhou 015; Boyang Yi; Baohua Zhang 001; Kai Wang (Comput. Electron. Agric., 2023)

Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review. - Yuhao Bai; Baohua Zhang 001; Naimin Xu; Jun Zhou 015; Jiayou Shi; Zhihua Diao (Comput. Electron. Agric., 2023)

A novel robot hand-eye calibration method to enhance calibration accuracy based on the POE model. - Zizhen Jiang; Jun Zhou 015; Hongqi Han (Adv. Robotics, 2023)

Deep learning with tactile sequences enables fruit recognition and force prediction for damage-free grasping. - Renjun Huang; Wei Zheng; Baohua Zhang 001; Jun Zhou 015; Zhengshan Cui; Zhen Zhang (Comput. Electron. Agric., 2023)

Soft bionic gripper with tactile sensing and slip detection for damage-free grasping of fragile fruits and vegetables. - Yuchen Liu; Jintao Zhang; Yuanxin Lou; Baohua Zhang 001; Jun Zhou 015; Jiajie Chen (Comput. Electron. Agric., 2024)

Immersive human-machine teleoperation framework for precision agriculture: Integrating UAV-based digital mapping and virtual reality control. - Tao Liu; Baohua Zhang 001; Qianqiu Tan; Jun Zhou 015; Shuwan Yu; Qingzhen Zhu; Yifan Bian (Comput. Electron. Agric., 2024)

Three-dimensional mapping and immersive human-robot interfacing utilize Kinect-style depth cameras and virtual reality for agricultural mobile robots. - Dong Wang 051; Baohua Zhang 001; Jun Zhou 015; Yingjun Xiong; Longshen Liu; Qianqiu Tan (J. Field Robotics, 2024)