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.
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
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.
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.
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.
Smart Images

Figure CN119476954B_ABST