Yu-Qi Li

Research on the BiSpikeNet classification model for tea plant pests and diseases

Fast and accurate identification of tea pests and diseases with lightweight, efficient, and resource-friendly computation is a key challenge in smart tea gardens. While deep learning models like ResNet extract strong features, their high computational cost limits application. Conversely, lightweight models like BiR...