Autonomous Drone Farming: Steep Terrain Innovation
Legal Citation
Background and Problem Solved
The original patent disclosed an autonomous robot system for steep terrain farming, which, although innovative, had limitations in terms of drone stability, route planning, and maintenance. The present invention addresses these limitations by introducing adjustable wheelbase drones, optimized route planning, modular drone design, interconnected drone networks, and real-time monitoring and control.
Novelty and Inventive Step
The present invention's novel features include the adjustable wheelbase drones, optimized route planning, modular drone design, interconnected drone networks, and real-time monitoring and control. These features provide a non-obvious improvement over the original patent, enabling more efficient, adaptable, and reliable steep terrain farming operations.
Alternative Embodiments and Variations
Alternative embodiments of the invention could include the use of different types of drones, such as quadcopters or hexacopters, or the integration of additional sensors or tools to enhance farming operations. Variations of the invention could also include the application of the system to other types of terrain or environments, such as rugged or mountainous regions.
Potential Commercial Applications and Market
The enhanced autonomous robot system has significant commercial potential in the agricultural industry, particularly in regions with steep terrain that are difficult to farm using traditional methods. The system's ability to increase crop yields, reduce downtime, and improve efficiency could lead to increased adoption and revenue growth in the market.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A01 | A01B69/008 |
| B | B64 | B64C39/02 |
| G | G01 | G01C21/3461 |
| G | G01 | G01C21/3469 |
| G | G05 | G05D1/101 |
| G | G05 | G05D2201/0201 |
Original Patent Information
| Patent Number | US 11,856,882 |
|---|---|
| Title | Autonomous robot system for steep terrain farming operations |
| Assignee(s) | Kansas Stte University Research Foundation |