Area of research
Plant Science · Nuclear and High Energy Physics
Research interest
Research focused on Wilt disease and Hyperspectral imaging, with related work in Thermal diffusivity, Obstacle avoidance, Robot end effector. Notable publications include 'Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques', 'Analysis of drying characteristic, effective moisture diffusivity and energy, exergy and environment performance indicators during thin layer drying of tea in a convective-hot air...', and 'Visual Navigation and Obstacle Avoidance Control for Agricultural Robots via LiDAR and Camera'.
YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7
Analysis of drying characteristic, effective moisture diffusivity and energy, exergy and environment performance indicators during thin layer drying of tea in a convective-hot air dryer
Classification, Advanced Technologies, and Typical Applications of End-Effector for Fruit and Vegetable Picking Robots
Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images
Visual Navigation and Obstacle Avoidance Control for Agricultural Robots via LiDAR and Camera
Toward structure optimization for the mobile vehicle system based on multiconstraints
Hyperspectral Inversion Model of Relative Heavy Metal Content in Pennisetum sinese Roxb via EEMD-db3 Algorithm
Modeling and evaluation in transient analysis of industrialized counter-flow tea drying system
Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making
Spectral Diagnostic Model for Agricultural Robot System Based on Binary Wavelet Algorithm
Fundamental Understanding of Tea Growth and Modeling of Precise Tea Shoot Picking Based on 3-D Coordinate Instrument
Fabrication and Performance of Graphene Flexible Pressure Sensor with Micro/Nano Structure
Experimental Study on the Ventilation Resistance Characteristics of Paddy Grain Layer Modelled with Response Surface Methodology
Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques