An agricultural product safety early warning method based on artificial intelligence

By using artificial intelligence-based methods, the monitoring scope and type are divided according to the historical mortality information of target organisms and soil environmental characteristics, and the monitoring frequency is dynamically adjusted. This solves the problem of the imbalance between monitoring efficiency and cost, and achieves high efficiency and accuracy in agricultural product safety management.

CN119476954BActive Publication Date: 2026-06-19GUANGDONG OPEN UNIV (GUANGDONG POLYTECHNIC VOCATIONAL COLLEGE)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG OPEN UNIV (GUANGDONG POLYTECHNIC VOCATIONAL COLLEGE)
Filing Date
2024-11-20
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies do not consider dividing the monitoring scope into key monitoring areas, secondary key monitoring areas, and general monitoring areas based on the historical mortality information of the target organisms, resulting in an imbalance between monitoring efficiency and cost.

Method used

By obtaining the free-range range and historical mortality locations of the target organisms, the target baseline range and target monitoring range are determined. Combining the location characterization status and soil characterization status, the monitoring types are classified and the number of monitoring points is set. The monitoring frequency is dynamically adjusted to optimize resource allocation.

Benefits of technology

This has improved the efficiency and accuracy of agricultural product safety management, enabled the timely detection of potential risks, optimized resource allocation, reduced monitoring costs, and ensured the comprehensiveness and reliability of monitoring data.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119476954B_ABST
    Figure CN119476954B_ABST
Patent Text Reader

Abstract

This invention relates to the field of agricultural analysis technology, and more particularly to an artificial intelligence-based method for early warning of agricultural product safety. The method includes acquiring the free-range range and historical mortality locations of target organisms; determining the corresponding target baseline range and target monitoring range based on the target location; determining the location characterization state and soil characterization state of each target location to determine the monitoring type for that target location; determining the number of monitoring points for the corresponding target monitoring range based on the monitoring type; determining several general monitoring ranges; determining whether to issue a safety warning signal based on the soil pH and heavy metal content of each monitoring range; and determining the monitoring adjustment strategy for the corresponding monitoring range based on the number of safety warning signals issued for each monitoring range. This invention not only improves the efficiency and accuracy of agricultural product safety management but also helps to promptly identify and respond to potential safety risks, ensuring the quality of agricultural products.
Need to check novelty before this filing date? Find Prior Art