Soil compaction determination method for corn harvester operation based on real-time parameters of the machine
By constructing a soil compaction determination method based on the real-time parameters of the machine, combined with the track characteristics and soil response characteristics, dynamic monitoring and early warning of the soil compaction degree during the operation of the corn harvester are achieved, solving the problem of low accuracy in the existing methods, protecting black soil resources and improving the efficiency of agricultural mechanization operations.
Patent Information
- Application Number
- CN202411880741.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2044-12-19
AI Technical Summary
Existing soil compaction prediction methods fail to effectively consider driver-controllable dynamic indicators, resulting in low soil compaction prediction accuracy, affecting the ecological environment and agricultural production efficiency of black soil.
A soil compaction degree determination method for corn harvester operation based on real-time parameters of the machine is proposed. By collecting and standardizing characteristic data, a multivariate linear regression model and gradient optimization algorithm are constructed. Combined with the track characteristics and soil response characteristics, dynamic monitoring and early warning of soil compaction degree are achieved.
It improves the accuracy of soil compaction prediction and the timeliness of early warning, reduces the negative impact of mechanical operations on soil structure, protects black soil resources, and improves the environmental protection performance and efficiency of agricultural mechanized operations.