Common animal disease early warning method and system based on breeding environment detection data

By acquiring data on the breeding environment and surrounding environment, combined with information on the farmed animals, and using a pre-built disease classifier and risk accumulation modeling, an animal disease early warning report is generated. This solves the problem of inaccurate early warning in existing technologies and achieves dynamic and accurate disease risk early warning and control.

CN120853889BActive Publication Date: 2026-03-03榆林市畜牧兽医服务中心(市动物疫病预防控制中心市动物卫生与屠宰管理站) +1
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Patent Information

Application Number
CN202510977260.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2026-03-03
Estimated Expiration
2045-07-16

AI Technical Summary

Technical Problem

In existing technologies, the lack of precise integration of breeding environment data leads to poor early warning effects for common animal diseases, making it difficult to effectively avoid disease risks and increasing breeding costs.

Method used

By acquiring real-time monitoring data of the target aquaculture environment and surrounding environment data, combined with information on the aquaculture objects, a pre-built disease classifier is used for qualitative classification analysis to generate a potential disease set. The cumulative risk of each disease is calculated through risk accumulation modeling, and an early warning report is generated.

Benefits of technology

It enables dynamic and precise early warning of potential diseases, improving the accuracy and relevance of early warnings, guiding farmers to take preventive measures in advance, and reducing the risk of disease outbreaks.

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Abstract

The application discloses a common animal disease early warning method and system based on breeding environment detection data, and relates to the technical field of animal disease early warning. The method comprises the following steps: interacting with a target breeding environment, obtaining breeding environment detection data and neighborhood environment data; determining breeding object information of the target breeding environment, calling a pre-constructed disease classifier for qualitative classification analysis, and outputting a result as a potential disease set; determining a risk accumulation rate set of M environment indexes in the breeding environment detection data for the potential disease set according to historical disease data; generating predicted environment sequence data of the target breeding environment according to the neighborhood environment data and the breeding environment detection data, performing risk accumulation calculation on the potential disease set, and obtaining an accumulated disease risk of each potential disease; generating an animal disease early warning report based on the multiple accumulated disease risks, and performing early warning response. The application solves the technical problem of inaccurate animal disease early warning in the prior art.
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