Figure generator and control system
By generating predictive maps on agricultural harvesters and combining sensor data and prior information, the problem of accuracy in harvester control under changing field conditions was solved, enabling more efficient and higher-quality harvesting operations.
CN114303619BActive Publication Date: 2026-02-27DEERE & CO
Patent Information
- Application Number
- CN202111173715.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2020-10-09
- Filing Date
- 2021-10-08
- Publication Date
- 2026-02-27
- Estimated Expiration
- 2041-10-08
AI Technical Summary
Technical Problem
Existing agricultural harvesters struggle to precisely adjust control parameters to optimize harvesting operations when faced with different field conditions, resulting in poor efficiency and quality.
Method used
By generating predictive maps, sensors on agricultural harvesters are used to sense field characteristics and combine them with prior data to generate images that predict agricultural characteristics for automatic control of harvester operation.
Benefits of technology
It improves the operating accuracy and efficiency of harvesters under different field conditions, optimizes the adjustment of harvesting parameters, and enhances the quality and efficiency of crop harvesting.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN114303619B_ABST
Abstract
One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural property values at different geographic locations of a field. An on-board sensor on the agricultural work machine senses the agricultural property as the agricultural work machine moves through the field. A prediction map generator generates a prediction map that predicts the agricultural property at different locations in the field based on a relationship between values in the one or more information maps and the agricultural property sensed by the on-board sensor. The prediction map can be output and used for automated machine control.
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Citation Information
Patent Citations
Forecasting field level crop yield during a growing season
US20170161627A1
Control of vehicular systems in response to anticipated conditions predicted using predetermined geo-referenced maps
US5995895A