Abstract In recent years, deep learning-based plant disease classification has been widely developed. However, it is challenging to collect sufficient annotated image data effectively train learning models for recognition. The attention mechanism in assists the model focus on informative segments and extract discriminative features of inputs enhance training performance. This paper investigates...