18476927. MAP GENERATION AND CONTROL SYSTEM simplified abstract (Deere & Company)
Contents
- 1 MAP GENERATION AND CONTROL SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MAP GENERATION AND CONTROL SYSTEM - 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
MAP GENERATION AND CONTROL SYSTEM
Organization Name
Inventor(s)
Nathan R. Vandike of Geneseo IL (US)
Bhanu Kiran Reddy Palla of Bettendorf IA (US)
Bradley K. Yanke of Eldridge IA (US)
Noel W. Anderson of Fargo ND (US)
MAP GENERATION AND CONTROL SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18476927 titled 'MAP GENERATION AND CONTROL SYSTEM
Simplified Explanation
The patent application describes a system where an agricultural work machine obtains one or more information maps that map agricultural characteristic values at different locations in a field. An in-situ sensor on the machine senses agricultural characteristics as it moves through the field, and a predictive map generator uses the information from the maps and sensor to predict agricultural characteristics at different locations in the field.
- Agricultural work machine obtains information maps mapping agricultural characteristic values in a field.
- In-situ sensor on the machine senses agricultural characteristics as it moves through the field.
- Predictive map generator predicts agricultural characteristics at different locations based on the information from the maps and sensor.
Potential Applications
This technology can be applied in precision agriculture, automated farming systems, and crop management practices.
Problems Solved
This technology helps in optimizing farming practices, reducing resource wastage, and improving crop yields through predictive mapping.
Benefits
The benefits of this technology include increased efficiency in farming operations, better decision-making based on predictive data, and overall improvement in agricultural productivity.
Potential Commercial Applications
Potential commercial applications include precision farming equipment, smart agriculture solutions, and data-driven farming technologies.
Possible Prior Art
One possible prior art could be the use of GPS technology in precision agriculture for mapping and monitoring field characteristics.
Unanswered Questions
How does the system handle variability in soil and crop conditions across different fields?
The system may need to incorporate adaptive algorithms or machine learning techniques to account for variability in soil and crop conditions.
What is the scalability of this technology for large agricultural operations?
The scalability of the technology may depend on factors such as data processing capabilities, sensor coverage, and integration with existing farm machinery.
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.
