Area of research
Electrical and Electronic Engineering · Plant Science
Research interest
Research interests include Artificial intelligence, Computer science, Pattern recognition (psychology), Computer vision, Overfitting, and Segmentation.
Slim-YOLO: An Improved Sugarcane Tail Tip Recognition Algorithm Based on YOLO11n for Complex Field Environments
YOLOv8-DSRI: An improved YOLOV8 instance segmentation algorithm for identifying silkworms in dense environments
Recognition of mulberry leaf diseases based on multi-scale residual network fusion SENet
Height estimation of sugarcane tip cutting position based on multimodal alignment and depth image fusion
Application of improved YOLOv7-based sugarcane stem node recognition algorithm in complex environments
Data density-based RGB color component feature extraction and area measurement method for silkworm
Lightweight silkworm recognition based on Multi-scale feature fusion
Sugarcane Stem Node Detection Based on Wavelet Analysis