Disease and pest early warning method and device, computer equipment and storage medium

Abstract

The invention discloses a disease and pest early warning method and device, computer equipment and a storage medium, and the method comprises the steps of obtaining IoT sensing time sequence data, andobtaining IoT dimension features; acquiring a lawn picture, and preprocessing the lawn picture to obtain a target picture; carrying out plant species identification on the target picture by utilizingan image identification algorithm, determining plant features according to the identified plant species, and then identifying focus features from the target picture according to the plant features; acquiring plant growth state data, and aggregating the focus characteristics, the IoT dimension characteristics and the plant growth state data to obtain time sequence multi-dimensional aggregation characteristic data; performing first similarity calculation on the time sequence multi-dimensional aggregation feature data and the historical pest and disease damage feature data; and comparing the calculation result with a preset similarity threshold, and outputting an early warning result according to a comparison result. According to the invention, the multi-dimensional time series data is predicted, so that effective early warning of outbreak of lawn diseases and insect pests is realized.

Description

technical field [0001] The invention relates to the technical field of plant protection, in particular to a method, device, computer equipment and storage medium for early warning of pests and diseases. Background technique [0002] At present, most of the solutions commonly used in the field of plant protection are used for economical crops (such as rice, corn, etc.), and economical crops compared with community greening lawn scenes, in terms of area (non-continuous), urban differences ( Environmental characteristics), plant complexity (shrubs, trees, etc.) and maintenance methods (watering, disinfecting) and other aspects are quite different, so such solutions cannot be directly used for plant protection of community green lawns. At the same time, the traditional judgment model of crop diseases and insect pests is only established after the discovery of diseases and insect pests, and then reduces the loss by increasing the time of detection of diseases and insect pests. In...

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Problems solved by technology

However, the above methods rely heavily on the plant protection professional quality of greening maintenance personnel. In actual business, it brings high labor costs and waste of resources, and may also cause large economic losses due to untimely monitoring.

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