Citrus huanglongbing image recognition method based on attention mechanism

The invention relates to the field of image recognition, and particularly discloses a citrus huanglongbing image recognition method based on an attention mechanism, and the method specifically comprises the steps: collecting the data of diseased leaves and diseased fruits of citrus huanglongbing as positive samples, collecting the data of other non-huanglongbing as negative samples, constructing an image classification network based on the attention mechanism, designing a loss function, inputting the training set into the image classification network based on the attention mechanism, carrying out supervised training by adopting the loss function, and inputting the verification set into the trained model for verification in the training process; and loading the trained model parameters to an image classification network based on an attention mechanism, and sequentially inputting thecitrus huanglongbing images of the test set into the network for reasoning to obtain a citrus huanglongbing image classification r