Area of research
Plant Science · Ecology
Research interest
Research focused on Segmentation and Artificial intelligence, with related work in Panicle, Paddy field, Pattern recognition (psychology). Notable publications include 'Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields', 'Modelling residue incorporation of selected chisel ploughing tools using the discrete element method (DEM)', and 'Smartphone-based detection of leaf color levels in rice plants'.
Co-pyrolysis of cotton stalks and polyethylene film: A study on synergetic effects, kinetic characteristics, and reaction mechanism
Grain-YOLO: An improved lightweight YOLO v8 and its android deployment for rice grains detection
An android-smartphone application for rice panicle detection and rice growth stage recognition using a lightweight YOLO network
Automatic pine wilt disease detection based on improved YOLOv8 UAV multispectral imagery
Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test
Design and Test of Disturbed Fertilizer Strip-Ejection Device with Vertical Pendulum Bar Based on Discrete Element Method
Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model
Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network
In-field rice panicles detection and growth stages recognition based on RiceRes2Net
Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis
Smartphone application-based measurements of stem-base width and plant height in rice seedling
Intra-row weed density evaluation in rice field using tactile method
Comparison of soil and corn residue cutting performance of different discs used for vertical tillage
Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
An automatic approach for detecting seedlings per hill of machine-transplanted hybrid rice utilizing machine vision
Assessment of grass lodging using texture and canopy height distribution features derived from UAV visual-band images
Smartphone-based detection of leaf color levels in rice plants
Deep localization model for intra-row crop detection in paddy field
Weeding performance of a spring-tine harrow as affected by timing and operational parameters
A Tactile Method for Rice Plant Recognition Based on Machine Learning
Design and test of soft-pot-tray automatic embedding system for light-economical pot seedling nursery machine
Design and test of soft-pot-tray automatic embedding system for light-economical pot seedling nursery machine
Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
Modelling residue incorporation of selected chisel ploughing tools using the discrete element method (DEM)
Segmentation and counting algorithm for touching hybrid rice grains
A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform
Development of a liquid-jet nozzle for fertilizer injection in paddy fields using CFD
Detection of Performance of Hybrid Rice Pot-Tray Sowing Utilizing Machine Vision and Machine Learning Approach
A fast nursery plug tray images sequence mosaic technique
Fast and robust image sequence mosaicking of nursery plug tray images