Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Abstract Generally, sunflower seeds are classified by machine vision-based methods in production, which include using photoelectric sensors to identify light-sensitive signals through traditional algorithms echofix spring reverb for which the equipment cost is relatively high and using neural network image recognition methods to identify images thr