18476934. MACHINE CONTROL USING A PREDICTIVE MAP simplified abstract (Deere & Company)
Contents
- 1 MACHINE CONTROL USING A PREDICTIVE MAP
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MACHINE CONTROL USING A PREDICTIVE MAP - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
MACHINE CONTROL USING A PREDICTIVE MAP
Organization Name
Inventor(s)
Nathan R. Vandike of Geneseo IL (US)
Bhanu Kiran Reddy Palla of Bettendorf IA (US)
Noel W. Anderson of Fargo ND (US)
Colin D. Engel of Bettendorf IA (US)
MACHINE CONTROL USING A PREDICTIVE MAP - A simplified explanation of the abstract
This abstract first appeared for US patent application 18476934 titled 'MACHINE CONTROL USING A PREDICTIVE MAP
Simplified Explanation
The abstract describes a patent application for a system that obtains information maps mapping agricultural characteristic values in a field, predicts future values based on sensor data, and outputs predictive maps for automated machine control.
- Agricultural work machine obtains information maps of agricultural characteristic values in a field.
- In-situ sensor on the machine senses agricultural characteristics as it moves through the field.
- Predictive map generator uses information maps and sensor data to predict future values in the field.
- Predictive maps can be used for automated machine control.
Potential Applications
This technology could be applied in precision agriculture, crop management, and yield optimization.
Problems Solved
This innovation helps farmers make data-driven decisions, optimize resource allocation, and improve overall crop yield.
Benefits
The system can increase efficiency, reduce waste, and enhance sustainability in agriculture practices.
Potential Commercial Applications
Potential commercial applications include precision farming equipment, agricultural machinery, and software for data analysis and prediction.
Possible Prior Art
One possible prior art could be similar systems used in the field of precision agriculture or remote sensing technologies.
Unanswered Questions
How does the system handle variability in soil types and conditions within the same field?
The system may use machine learning algorithms to adapt to different soil types and conditions, but the specific methods are not detailed in the abstract.
What types of agricultural characteristics can the system sense and predict?
The abstract mentions "agricultural characteristic values" but does not specify the exact parameters or variables that the system can handle.
Original Abstract Submitted
One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
