Area of research
Plant Science · Analytical Chemistry
Research interest
Research interests include Computer science, Artificial intelligence, Convolutional neural network, Pattern recognition (psychology), Robot, and Trellis (graph).
Vibration–Collision Coupling Modeling in Grape Clusters for Non-Damage Harvesting Operations
Development of a dual-arm rapid grape-harvesting robot for horizontal trellis cultivation
Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module
A Comparative Study of Semantic Segmentation Models for Identification of Grape with Different Varieties
Fused-Deep-Features Based Grape Leaf Disease Diagnosis
Fused Deep Features-Based Grape Varieties Identification Using Support Vector Machine
Hanging force analysis for realizing low vibration of grape clusters during speedy robotic post-harvest handling
Segmentation of Overlapping Grape Clusters Based on the Depth Region Growing Method
Research Progress of Urban Dual-arm Humanoid Grape Harvesting Robot
Experimental and theoretical analysis of fruit plucking patterns for robotic tomato harvesting