The application discloses a
pesticide application method based on a grapevine
downy mildew prediction model, relates to the technical field of
agricultural plant protection, and mainly aims to provide a
pesticide application method based on a grapevine
downy mildew prediction model, which can dynamically simulate a complete
disease epidemic process from
overwintering inoculum release to secondary cycle establishment. The application provides a
pesticide application method based on a grapevine
downy mildew prediction model, which directly outputs an
infection risk early warning through the prediction model, helps to reduce the use frequency and dosage of pesticides, reduces the cost and
environmental risk, and meanwhile, can be calibrated locally according to different regions or varieties. The construction framework can also provide a reference for the development of other air-borne and rain-borne
fungal disease prediction models, and then a mechanism model capable of dynamically simulating a complete
disease epidemic process from
overwintering inoculum release to secondary cycle establishment is constructed, so that the technical effect of improving the prediction accuracy is achieved.