Published Technical Disclosure Archive

AI-Driven Autonomous Farming for Steep Terrain

Publication ID: 24-11856882_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Driven Autonomous Farming for Steep Terrain,” Published Technical Disclosure No. 24-11856882_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856882_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,882.

Background and Problem Solved

The original patent addressed the need for autonomous farming on steep terrain, but it did not fully leverage advancements in AI, IoT, and blockchain to maximize efficiency and profitability. This new invention solves the problem of limited technology integration, enabling more efficient and data-driven farming practices.

Novelty and Inventive Step

The invention's novelty lies in the synergistic integration of AI, IoT, and blockchain technologies to create a more efficient, data-driven, and profitable farming system on steep terrain. The inventive step is the combination of these distinct technologies to overcome the limitations of traditional farming methods.

Alternative Embodiments and Variations

Alternative embodiments include integrating the system with other technologies such as robotics, computer vision, or satellite imaging. Variations could include adapting the system for different types of crops, terrain, or climates.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agriculture and food production industries, particularly in regions with steep terrain. The integration of AI, IoT, and blockchain technologies could increase crop yields, reduce costs, and improve supply chain efficiency, making it an attractive solution for farmers, agricultural companies, and governments.

CPC Classifications

SectionClassGroup
A A01 A01B69/008
B B64 B64C39/02
G G01 G01C21/3461
G G01 G01C21/3469
G G05 G05D1/101
G G05 G05D2201/0201

Field of Art

Agricultural robotics and autonomous farming systems, with expertise in drone technologies, terrain navigation, agricultural operations, and advanced sensing/monitoring techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in robotics, agricultural engineering, or computer science, having practical experience in autonomous systems design, IoT sensor integration, and machine learning applications for precision agriculture

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of AI, IoT, and blockchain technologies represents a predictable extension of the source patent's autonomous robotic farming system. The core technical problem of performing agricultural operations on steep terrain remains consistent, with the PTD merely applying known technological enhancement strategies. The combination of autonomous drones, sensor technologies, and data management systems would be considered a natural progression of the existing robotic farming approach.

Obvious Combinations & Variations

Source Patent Element
Autonomous ground-based drones performing farming operations on steep terrain
PTD Variation
AI-based navigation and swarm coordination for drone farming systems
Obviousness Reasoning
Applying machine learning to robotic navigation is a well-established technique in robotics, representing an obvious improvement to existing autonomous drone systems
Source Patent Element
Drone-based farming operations including planting and harvesting
PTD Variation
IoT sensors for real-time soil monitoring and crop management
Obviousness Reasoning
Integrating sensor technologies for precision agriculture is a predictable enhancement that would provide additional operational data for autonomous farming systems
Source Patent Element
Autonomous robots servicing farming operations
PTD Variation
Blockchain-based tracking system for crop yields and supply chain management
Obviousness Reasoning
Applying distributed ledger technologies to agricultural data tracking represents a standard digital transformation approach in technology-driven industries
Source Patent Element
Unmanned aerial vehicles (UAVs) for terrain monitoring
PTD Variation
Machine learning algorithms for crop selection and placement optimization
Obviousness Reasoning
Utilizing advanced data analysis techniques to improve agricultural decision-making is a logical extension of existing drone-based monitoring capabilities
Source Patent Element
Autonomous farming robots performing field operations
PTD Variation
Decentralized blockchain-based marketplaces for crop trading
Obviousness Reasoning
Extending robotic farming systems into digital marketplace integration represents an obvious technological convergence in precision agriculture
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856882 for autonomous robotic farming systems, the present publication demonstrates that the integration of AI, IoT, and blockchain technologies into steep terrain agricultural operations would be obvious to a person having ordinary skill in the art, thereby rendering potential patent claims in this domain anticipated and non-novel.

Original Patent Information

Patent NumberUS 11,856,882
TitleAutonomous robot system for steep terrain farming operations
Assignee(s)Kansas Stte University Research Foundation