Area of research
General Economics, Econometrics and Finance · General Agricultural and Biological Sciences
Research interest
Research interests include Computer science, Artificial intelligence, Biology, Poultry farming, Pose, and Pattern recognition (psychology).
Enhanced Methodology and Experimental Research for Caged Chicken Counting Based on YOLOv8
Weight prediction method for individual live chickens based on single-view point cloud information
Heat Stress Influences Immunity Through DUSP1 and HSPA5 Mediated Antigen Presentation in Chickens
YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7
Application of mRNA-Seq and Metagenomic Sequencing to Study Salmonella pullorum Infections in Chickens
Improved YOLO-Goose-Based Method for Individual Identification of Lion-Head Geese and Egg Matching: Methods and Experimental Study
A detection method for dead caged hens based on improved YOLOv7
MCP: Multi-Chicken Pose Estimation Based on Transfer Learning
The Posture Detection Method of Caged Chickens Based on Computer Vision
TeaPoseNet: A deep neural network for tea leaf pose recognition
Measurement method for live chicken shank length based on improved ResNet and fused multi-source information
EGR1 mRNA expression levels and polymorphisms are associated with slaughter performance in chickens
Integrated Transcriptomic–Metabolomic Analysis Reveals the Effect of Different Light Intensities on Ovarian Development in Chickens
Super-resolution fusion optimization for poultry detection: a multi-object chicken detection method
Automatic Newcastle disease detection using sound technology and deep learning method
A defencing algorithm based on deep learning improves the detection accuracy of caged chickens
Study on Poultry Pose Estimation Based on Multi-Parts Detection
Sex Detection of Chicks Based on Audio Technology and Deep Learning Methods
Shank length and circumference measurement algorithm of breeder chickens based on extraction of regional key points
Design and Implementation of Poultry Farming Information Management System Based on Cloud Database
Pose estimation and behavior classification of broiler chickens based on deep neural networks
Detection of avian influenza-infected chickens based on a chicken sound convolutional neural network
Comparative study on poultry target tracking algorithms based on a deep regression network
An intelligent method for detecting poultry eating behaviour based on vocalization signals