Area of research
Animal Science and Zoology · Analytical Chemistry
Research interest
Research interests include Computer science, Hyperspectral imaging, Artificial intelligence, Pattern recognition (psychology), Transformer, and Partial least squares regression.
A multi-task deep learning model based on transformer for simultaneously evaluating the TVB-N and TVC contents of chicken breasts using two different hyperspectral imaging
A lightweight model based on knowledge distillation for free-range chickens detection in complex commercial farming environments
An effective deep learning fusion method for predicting the TVB-N and TVC contents of chicken breasts using dual hyperspectral imaging systems
An efficient transformer network for detecting multi-scale chicken in complex free-range farming environments via improved RT-DETR
SY-Track: A tracking tool for measuring chicken flock activity level
V-YOLO: A Lightweight and Efficient Detection Model for Guava in Complex Orchard Environments
RNase H2 triggered visual loop-mediated isothermal amplification combining smartphone assisted all-in-one aptamer magnetic enrichment device for ultrasensitive culture-independent detection of Salmonella Typhimurium in chicken meat
Response comment on the paper “Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken”
Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken
Cropland encroachment detection via dual attention and multi-loss based building extraction in remote sensing images