一种用于农业管理的机器人系统
By using a fuzzy logic algorithm that combines multi-sensor networks and knowledge graphs to assess crop growth status, and combining it with UAV image processing and sensor positioning in complex environments, the problem of inaccurate crop growth status assessment and field operation difficulties in agricultural management has been solved, enabling efficient operation of precision agriculture.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HENAN TENGYUE TECH CO LTD
- Filing Date
- 2025-08-01
- Publication Date
- 2026-07-17
AI Technical Summary
Inaccurate assessment of crop growth status in agricultural management makes it difficult to achieve precision in field operations. Traditional positioning systems suffer from decreased positioning accuracy in complex environments, affecting the efficiency and quality of agricultural machinery.
By employing a multi-sensor network, combined with a crop life-cycle knowledge graph and fuzzy logic algorithms, the crop growth status is assessed. Using UAV image processing, root radar detection, anti-fog lenses and millimeter-wave radar for joint positioning, and BeiDou/GPS and lidar navigation, precise irrigation and continuous positioning in complex environments are achieved.
It enables refined and dynamic monitoring of farmland and crop growth, automatically distinguishes between main crops and intercrops, and provides precise irrigation and positioning, thereby improving resource utilization and the operational efficiency of agricultural machinery in complex terrain.
Smart Images
Figure CN121032704B_ABST