The application provides a
greenhouse armyworm plate pest
image acquisition and identification method based on
deep learning, and belongs to the technical field of
image processing. The method comprises the following steps: obtaining an armyworm plate image through a field acquisition device; performing a pretreatment operation on each initial armyworm plate image to obtain a plurality of sample armyworm plate images; inputting the plurality of sample armyworm plate images into an initial pest detection model, generating a candidate region by using a
region proposal network, performing
pooling and classification regression on each candidate region to obtain sample pest type and sample pest position information; calculating a
region proposal network loss and a classification regression network loss according to the sample pest type and the sample pest position information, and determining total loss information according to the
region proposal network loss and the classification regression network loss; inputting a to-be-detected armyworm plate image into a target pest detection model, sequentially passing through a region proposal network and a classification regression network to obtain target pest type and target pest position information.