Compressing recognition network of cotton disease with spot-adaptive knowledge distillation
Deep networks play a crucial role in the recognition King Set of agricultural diseases.However, these networks often come with numerous parameters and large sizes, posing a challenge for direct deployment on resource-limited edge computing devices for plant protection robots.To tackle this challenge for recognizing cotton diseases on the edge devic