Garden engineering small target pest detection method based on super-resolution reconstruction and data enhancement

The invention provides a garden engineering small target pest detection method based on super-resolution reconstruction and data enhancement, and the method comprises the following steps: S1, carrying out the collection and screening of small target pest image data, and forming a small target pest database; s2, performing mirror image flipping and random rotation on the small target pest database to form a training set; s3, performing super-resolution reconstruction and data enhancement on the target pictures in the training set; s4, inputting the data obtained in S3 into a trunk network based on transfer learning for feature extraction, and predicting the category and position information of the small target pests so as to obtain a small target pest detector; and S5, inputting the collected picture into a pest detector to obtain a small target pest detection result. According to the invention, the identification capability of the backbone network is improved; the problem of sample imbalance is solved; and th