Fuente: WIPO "processing tomato" The invention discloses a cherry tomato maturity detection method based on a YOLOv8 improved algorithm. Relates to the field of image recognition, in particular to the technical field of maturity detection of cherry tomatoes in a complex environment based on a YOLOv8 model. The problems of insufficient detection precision and insufficient dense target processing capability in the prior art are solved. The method comprises the following steps: preprocessing a data set; optimizing the YOLOv8n model: in a trunk part of the YOLOv8n model, replacing a Conv module with an ADown module; in the neck part of the YOLOv8n model, a C2F module is replaced by a VoVGSCSP module, a Conv module is replaced by a GSConv module, and an EMA mechanism is added; and evaluating the performance of the ASE-YOLOv8n model by adopting the test set, and determining that the test is qualified when the threshold value of the confidence coefficient is greater than 0.6.