A kind of facility spinach disease early warning method and system

Abstract

The invention provides an early-warning method and system of facility spinach diseases. The method includes the steps that S1, air temperature and humidity sensors and soil temperature and humidity sensors are deployed in a greenhouse, and the deployed sensors collect environment information data of facility vegetables according to the preset time interval, wherein the information data include the air temperature, the air humidity, the soil temperature and the soil humidity; S2, the collected environment information data are processed; S3, a classification early-warning model is built based on SVM; S4, the environment information data processed in the S2 are analyzed through the classification early-warning model built in the S3, the early-warning level of the current environment is obtained, if the early-warning level is zero, the S1 is executed, and otherwise the S5 is executed; S5, the corresponding level warning function is executed according to the early-warning level; S6, warning is released and the S1 is executed. The early-warning method and system of the facility spinach diseases can carry out early warning of various diseases simply and effectively.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for early warning of facility spinach diseases. Background technique [0002] The occurrence of diseases of facility vegetables is closely related to the environment. The interaction between the adverse environment, pathogens and vegetables is the main cause of the diseases. Infestation and expansion of the disease. For protected spinach, its short growth cycle, single planting variety, high multiple cropping index, difficulty in crop rotation, coupled with unfavorable environments such as high temperature and high humidity, can easily lead to rapid and large-scale epidemics of diseases to a certain extent. [0003] Previous vegetable disease early warning methods were often based on physiological disease factors such as pathogenic pathogens. The algorithms used were complex, and a large number of expert-level domain knowledge and experience had to be combi...

AI Technical Summary

Problems solved by technology

For protected spinach, its short growth cycle, single planting variety, high multiple cropping index, difficulty in crop rotation, coupled with unfavorable environments such as high temperature and high humidity, can easily lead to rapid and large-scale epidemics of diseases to a certain extent.

[0003] Previous vegetable disease early warning methods were often based on physiological disease factors such as pathogenic pathogens. The algorithms used were complex, and a large number of expert-level domain knowledge and experience had to be combined. of farmers learn to master

In addition, the hardware equipment required by the previous vegetable disease early warning system is expensive and inconvenient to promote, and the system only alarms when the disease occurs, which has already brought unnecessary economic losses and cannot fully achieve the purpose of early warning.

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