Area of research
Plant Science · Analytical Chemistry
Research interest
Research interests include Artificial intelligence, Computer science, Computer vision, Pattern recognition (psychology), Segmentation, and RGB color model.
Efficient detection and picking sequence planning of tea buds in a high-density canopy
Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review
Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning
Three-dimensional reconstruction of guava fruits and branches using instance segmentation and geometry analysis
YOLOv3-Litchi Detection Method of Densely Distributed Litchi in Large Vision Scenes
Detection of Fruit-Bearing Branches and Localization of Litchi Clusters for Vision-Based Harvesting Robots
Color-, depth-, and shape-based 3D fruit detection
Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field
Fruit detection in natural environment using partial shape matching and probabilistic Hough transform
In-field citrus detection and localisation based on RGB-D image analysis
Banana detection based on color and texture features in the natural environment
Citrus Segmentation for Automatic Harvester Combined with AdaBoost Classifier and Leung-Malik Filter Bank
Recognition of ripe litchi in different illumination conditions based on Retinex image enhancement