Published Technical Disclosure Archive

AI-Powered Autonomous Farming Robot System

Publication ID: 24-11856882_0003_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Autonomous Farming Robot System,” Published Technical Disclosure No. 24-11856882_0003_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856882_0003_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 challenge of farming on steep terrain, but it lacked the capabilities to optimize farming operations in real-time, ensure secure and transparent data management, and integrate with other emerging technologies. The new invention overcomes these limitations by incorporating AI, IoT, and blockchain technologies to create a more powerful and efficient system.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, and blockchain technologies, which is not obvious from the original patent. The combination of these technologies enables real-time optimization of farming operations, secure and transparent data management, and efficient resource allocation, which are not possible with the original patent's system.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include using different types of drones, such as fixed-wing or hybrid drones, or integrating other emerging technologies, such as machine learning or computer vision. The system could also be adapted for use in other industries, such as environmental monitoring or disaster response.

Potential Commercial Applications and Market

The autonomous farming system has significant commercial potential in the agricultural industry, particularly in regions with challenging terrain. The system's ability to optimize farming operations and reduce costs could make it an attractive solution for farmers and agricultural companies. Additionally, the system's integration with emerging technologies could make it a valuable platform for other industries, such as environmental monitoring or disaster response.

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 systems, focusing on terrain-adaptive drone technologies for farming operations, involving robotics, navigation systems, sensor integration, and agricultural process automation

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in robotics, agricultural engineering, and autonomous systems, familiar with drone technologies, IoT sensor networks, machine learning applications in precision agriculture, and adaptive robotic control systems

Obviousness Rationale

A PHOSITA would recognize that integrating AI, blockchain, and IoT technologies with autonomous farming drones represents a natural technological progression from the source patent's core concept of terrain-adaptable robotic farming systems. The fundamental problem of optimizing agricultural operations on challenging terrain remains consistent, with the PTD proposing predictable technological enhancements using well-established integration techniques. These variations represent incremental improvements that leverage emerging technologies to address known limitations in autonomous agricultural robotics.

Obvious Combinations & Variations

Source Patent Element
Autonomous ground-based drones performing farming operations on steep terrain
PTD Variation
Adding blockchain-based data management and AI-powered decision support systems
Obviousness Reasoning
Integrating data tracking and AI optimization represents a known technique for improving robotic system performance, with predictable results in enhancing operational efficiency
Source Patent Element
Drone servicing methods including battery replacement and resource management
PTD Variation
Implementing IoT sensor networks for real-time monitoring and dynamic resource allocation
Obviousness Reasoning
Extending drone resource management through sensor integration is a predictable design choice for improving operational intelligence and system responsiveness
Source Patent Element
Autonomous farming drones capable of performing agricultural tasks
PTD Variation
Introducing computer vision and AI-powered stress detection for crop monitoring
Obviousness Reasoning
Applying machine learning and image analysis to agricultural robotics represents a finite, obvious solution for enhancing drone-based farming capabilities
Source Patent Element
Modular drone systems for performing farming operations
PTD Variation
3D printing customizable drone modules based on real-time field conditions
Obviousness Reasoning
Adaptive manufacturing techniques applied to robotic agricultural systems represent a logical extension of existing modular design principles
Source Patent Element
Autonomous navigation of drones across steep terrain
PTD Variation
Implementing decentralized communication networks for coordinated drone swarm operations
Obviousness Reasoning
Swarm coordination techniques are a known approach for improving robotic system performance in complex environmental contexts
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856882 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed autonomous farming drone systems with integrated AI, blockchain, and IoT technologies to be obvious extensions of existing robotic agricultural technologies, thereby rendering potential patent claims in this domain anticipated and non-patentable under standard obviousness analysis.

Original Patent Information

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