用于病虫害防治数据的智能管理平台
By constructing an intelligent management platform for pest and disease control data, and utilizing multimodal data acquisition and population dynamic modeling technologies, the platform identifies the critical state of pest populations, optimizes the allocation of control resources, and solves the problem of lacking forward-looking early warning and refined decision-making in existing systems, thus achieving efficient and economical pest and disease control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUJIAN ZHILIAN ALL THINGS TECH CO LTD
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing pest and disease control systems lack the ability to quantitatively identify the dynamic evolution of pest populations, making it impossible to provide early warnings and interventions before populations approach the critical point of outbreak. The spatiotemporal calibration processing of multi-source data is not refined enough, resulting in a lack of foresight and precision in prevention and control decisions.
The system constructs a multimodal data acquisition module, an edge calibration module, a population dynamic modeling module, a prevention and control strategy dynamic optimization module, and a prevention and control execution monitoring module. It acquires multi-source data through a sensor network, performs timestamp alignment and radiometric calibration, constructs a population state phase space and evolutionary manifold, identifies critical slowing phenomena, and optimizes the allocation of prevention and control resources.
It enables the identification of potential outbreak thresholds while pest populations are still under control, reducing control costs and improving control effectiveness. Through proactive intervention, it significantly enhances the timeliness and accuracy of the control system.
Smart Images
Figure CN122414749A_ABST