Baohua Zhang
Orcid: 0000-0002-7731-2518Affiliations:
- Nanjing Agricultural University, College of Artificial Intelligence, China
According to our database1,
Baohua Zhang
authored at least 29 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Research on the Relative Position Detection Method between Orchard Robots and Fruit Tree Rows.
Sensors, October, 2023
Navigation line extraction algorithm for corn spraying robot based on improved YOLOv8s network.
Comput. Electron. Agric., September, 2023
Spatial-spectral attention-enhanced Res-3D-OctConv for corn and weed identification utilizing hyperspectral imaging and deep learning.
Comput. Electron. Agric., September, 2023
Deep learning with tactile sequences enables fruit recognition and force prediction for damage-free grasping.
Comput. Electron. Agric., August, 2023
Comput. Electron. Agric., July, 2023
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review.
Comput. Electron. Agric., February, 2023
A flexible swallowing gripper for harvesting apples and its grasping force sensing model.
Comput. Electron. Agric., 2023
Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features.
Comput. Electron. Agric., 2023
2022
Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots.
Sensors, 2022
Recent developments and applications of simultaneous localization and mapping in agriculture.
J. Field Robotics, 2022
Real-time, highly accurate robotic grasp detection utilizing transfer learning for robots manipulating fragile fruits with widely variable sizes and shapes.
Comput. Electron. Agric., 2022
Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment.
Comput. Electron. Agric., 2022
Comput. Electron. Agric., 2022
2021
Mobile LiDAR Scanning System Combined with Canopy Morphology Extracting Methods for Tree Crown Parameters Evaluation in Orchards.
Sensors, 2021
Dexterous robotic grasping of delicate fruits aided with a multi-sensory e-glove and manual grasping analysis for damage-free manipulation.
Comput. Electron. Agric., 2021
3D point cloud semantic segmentation toward large-scale unstructured agricultural scene classification.
Comput. Electron. Agric., 2021
2020
An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests.
Sensors, 2020
Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods.
J. Sensors, 2020
State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review.
Comput. Electron. Agric., 2020
Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion.
Comput. Electron. Agric., 2020
Pose estimation and adaptable grasp configuration with point cloud registration and geometry understanding for fruit grasp planning.
Comput. Electron. Agric., 2020
Real-time 3D unstructured environment reconstruction utilizing VR and Kinect-based immersive teleoperation for agricultural field robots.
Comput. Electron. Agric., 2020
Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis.
IEEE Access, 2020
2019
Automatic Recognition of Ripening Tomatoes by Combining Multi-Feature Fusion with a Bi-Layer Classification Strategy for Harvesting Robots.
Sensors, 2019
Comparative Study of Two Different Strategies for Determination of Soluble Solids Content of Apples From Multiple Geographical Regions by Using FT-NIR Spectroscopy.
IEEE Access, 2019
2018
Automated robust crop-row detection in maize fields based on position clustering algorithm and shortest path method.
Comput. Electron. Agric., 2018
Determination of soluble solid content in multi-origin 'Fuji' apples by using FT-NIR spectroscopy and an origin discriminant strategy.
Comput. Electron. Agric., 2018
2015
Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica).
Comput. Electron. Agric., 2015