Large model-based autonomous decision-making operation system for agriculture and working method thereof
By deploying a lightweight visual language model and an XYZ three-axis robotic arm system on the edge computing module, combined with sensors and an agricultural database, structured control commands are generated, solving the decision-making problem of existing agricultural intelligent control systems in complex environments and achieving efficient, safe, and precise operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LANZHOU JIAOTONG UNIV
- Filing Date
- 2026-03-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing agricultural intelligent control systems struggle to generate interpretable and executable refined strategies when faced with complex and unstructured problems. They also suffer from network dependencies and security risks, making it difficult to achieve multimodal fusion decision-making and closed-loop execution.
A lightweight visual language model is deployed using edge computing modules, combined with an XYZ three-axis mobile robotic arm system and multiple sensors to generate structured control commands. Precise operation is achieved through an intelligent controller, and decision support is provided by combining agricultural databases and expert knowledge systems.
It achieves multimodal fusion decision-making and precise control at the edge, improves the consistency and robustness of job execution, reduces inference latency, and ensures the real-time performance and security of the system.
Smart Images
Figure CN122401374A_ABST