基于人工智能大模型的农业气象决策服务系统和方法
The agricultural meteorological decision-making service system based on artificial intelligence big data models utilizes various algorithms and modules for dynamic modeling, which solves the shortcomings of existing systems in extreme weather warnings and achieves more efficient meteorological risk warnings and decision support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING SUPERMAP SOFTWARE CO LTD
- Filing Date
- 2025-05-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing agricultural meteorological decision-making service systems are unable to accurately warn of extreme weather when faced with real-time weather fluctuations, lack the ability to trace anomalies, and are prone to misjudging the timing of intervention, making them difficult to adapt to complex meteorological environments.
An agricultural meteorological decision-making service system based on artificial intelligence large models is adopted. Through meteorological coupling analysis module, anomaly tracing and location module, impact path modeling module and dynamic scoring matrix module, combined with long short-term memory network, isolated forest algorithm, random forest model and hierarchical clustering algorithm, dynamic modeling of meteorological fluctuations and crop growth response is realized, which enhances the causal relationship of meteorological risk warning and decision-making timeliness.
It has improved the accuracy and timeliness of meteorological risk warnings, reduced the probability of misjudging extreme weather, and enhanced the ability to adapt to complex meteorological environments.
Smart Images
Figure CN120634003B_ABST