Agricultural insect pest image detection and classification method and system
The invention discloses an agricultural insect pest image detection and classification method and system, and the method comprises the following steps: S1, carrying out the preprocessing of an obtained to-be-classified agricultural insect pest image, and dividing the to-be-classified agricultural in...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses an agricultural insect pest image detection and classification method and system, and the method comprises the following steps: S1, carrying out the preprocessing of an obtained to-be-classified agricultural insect pest image, and dividing the to-be-classified agricultural insect pest image after preprocessing into a training set and a test set; s2, the image classification model is used as a classification model of agricultural insect pest images, the image classification model is an improved YoloX model, the YoloX model is used as a basic framework, a darknet53 feature extraction module is replaced with a Swindow-Transform module, a DG module and a CLFM module are added to an FPN feature fusion module of a check network, and a Focalloss function is set; s3, training the image classification model by using the training set; and S4, detecting the test set by using the trained image classification model, and outputting an agricultural pest image detection classification result. Accordin |
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