Wheat scab spore identification method based on YOLOv4-tiny lightweight model

The invention relates to a wheat gibberellic disease spore identification method based on a YOLOv4-tiny lightweight model. Compared with the prior art, the wheat gibberellic disease spore identification method solves the defects that gibberellic disease spore detection is low in accuracy, low in detection speed and large in calculation amount. The method comprises the following steps: establishing a spore image data set; constructing a lightweight spore recognition model; training a lightweight spore recognition model; acquiring a spore image to be identified; and obtaining a wheat scab spore identification result. According to the method, the characteristics of higher detection speed and better real-time performance of YOLOv4-tin are utilized, and rapid detection is realized while the accuracy is ensured; according to the method, the CSPDarknet53 module of the YOLOv4 trunk feature extraction network is replaced by the CSPDarknet53tiny module, so that rapid and accurate detection and identification of the whe