Area of research
Plant Science · Ecology
Research interest
Research interests include Computer science, Artificial intelligence, Feature (linguistics), Kernel (algebra), Pattern recognition (psychology), and Net (polyhedron).
RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios
FDRW-Net: A feature dynamic reweighting network for cotton disease detection in natural scenes
An enhanced segmentation network built upon the you only look once framework for precise weed recognition in early-stage cotton
TSRA-Net: A pest detection method based on token statistics and reparameterized adaptive networks