Area of research
Plant Science · Civil and Structural Engineering
Research interest
Research interests include Artificial intelligence, Computer science, Environmental science, Mathematics, Tractor, and Accelerometer.
Integrated measurement method for field surface topography and tillage depth in rotary tillage operations
A Variable-Threshold Segmentation Method for Rice Row Detection Considering Robot Travelling Prior Information
Field Ridge Segmentation and Navigation Line Coordinate Extraction of Paddy Field Images Based on Machine Vision Fused with GNSS
A review of global precision land-leveling technologies and implements: Current status, challenges and future trends
TCNet: Transformer Convolution Network for Cutting-Edge Detection of Unharvested Rice Regions
Efficient detection and picking sequence planning of tea buds in a high-density canopy
Method and Experiments for Acquiring High Spatial Resolution Images of Abnormal Rice Canopy by Autonomous Unmanned Aerial Vehicle Field Inspection
Visual detection of rice rows based on Bayesian decision theory and robust regression least squares method
Method for estimating vertical kinematic states of working implements based on laser receivers and accelerometers
Visual detection of rice rows based on Bayesian decision theory and robust regression least squares method.
Benefits of continuous plow tillage to fragrant rice performance
Design and Test of Tractor-Attached Laser-Controlled Rotary Scraper Land Leveler for Paddy Fields
Optimization Design and Experimental Testing of a Laser Receiver for Use in a Laser Levelling Control System
Design and test of laser-controlled paddy field levelling-beater.
Roll angle estimation using low cost MEMS sensors for paddy field machine
A novel approach for describing and classifying the unevenness of the bottom layer of paddy fields
Method and experiment for height measurement of scraper with water surface as benchmark in paddy field