Published Technical Disclosure Archive

Autonomous Agricultural Vehicle Control System Innovation

Publication ID: 24-11856943_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Agricultural Vehicle Control System Innovation,” Published Technical Disclosure No. 24-11856943_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856943_0005_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. 11,856,943.

Background and Problem Solved

The original control system for agricultural utility vehicles, as described in the preamble of patent claim 1, has limitations in terms of efficiency, accuracy, and environmental impact. The new invention addresses these limitations by introducing autonomous decision-making, real-time adaptation, and advanced sensor technologies to minimize waste, reduce environmental harm, and optimize material application.

Novelty and Inventive Step

The new invention's autonomous, adaptive, and environmentally conscious approach, combined with advanced sensor technologies and machine learning algorithms, represents a significant departure from the original patent's limitations. The inventive step lies in the integration of these technologies to create a next-generation control system that optimizes material application while minimizing environmental impact.

Alternative Embodiments and Variations

Alternative embodiments may include variations in sensor types, machine learning algorithms, and communication protocols. Additionally, the invention could be adapted for use in other industries, such as construction or mining, where material application and environmental considerations are critical.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, where it can help reduce waste, improve crop yields, and minimize environmental harm. The target market includes agricultural companies, farmers, and equipment manufacturers seeking to adopt cutting-edge technologies to improve their operations and reduce their environmental footprint.

CPC Classifications

SectionClassGroup
A A01 A01M7/0057
A A01 A01B73/04
A A01 A01C7/10
A A01 A01C23/047
A A01 A01M7/0075
A A01 A01M7/0089

Field of Art

Agricultural vehicle control systems, precision agriculture technologies, sensor-based material application systems, with expertise in mechanical engineering, agricultural engineering, and advanced control systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with a bachelor's or master's degree in agricultural or mechanical engineering, familiar with sensor technologies, control system design, and precision agriculture techniques, with 3-5 years of industry experience in agricultural machinery automation

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed variations represent predictable extensions of the source patent's core technological framework. The disclosed machine learning, swarm-based communication, and adaptive control strategies are natural evolutionary steps for agricultural vehicle control systems. These variations apply known computational and sensor technologies to enhance the fundamental material distribution approach described in the original patent.

Obvious Combinations & Variations

Source Patent Element
Distributor linkage with extension arms controlled by sensors for material application
PTD Variation
Machine learning algorithms predicting optimal material application rates and patterns
Obviousness Reasoning
Applying predictive analytics to sensor-based control is a known technique in precision agriculture, representing an obvious optimization of existing sensing and control methodologies
Source Patent Element
Sensor-based detection of center part position and material distribution
PTD Variation
Decentralized edge-computing system processing real-time sensor data at vehicle level
Obviousness Reasoning
Distributed computing architectures are a standard evolution in sensor-based control systems, offering improved responsiveness and local processing capabilities
Source Patent Element
Agricultural utility vehicle with transverse material distribution system
PTD Variation
Swarm-based fleet control system with inter-vehicle communication to optimize coverage
Obviousness Reasoning
Networked vehicle coordination is a predictable solution for improving overall material application efficiency, utilizing standard communication and coordination protocols
Source Patent Element
Sensor-based dynamic adjustment of extension arms
PTD Variation
Bio-inspired adaptive control using fractal patterns for uniform material distribution
Obviousness Reasoning
Biomimetic design approaches are well-established in engineering, representing an obvious design choice for optimizing complex distribution systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856943 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed agricultural vehicle control system innovations obvious. The proposed technical extensions represent predictable applications of known computational, sensing, and control technologies to the fundamental material distribution methodology, thus rendering subsequent claims obvious as a matter of legal standard.

Original Patent Information

Patent NumberUS 11,856,943
TitleControl system, agricultural utility vehicle and method for controlling an agricultural utility vehicle
Assignee(s)AMAZONEN-WERKE H. DREYER SE & CO. KG, HYDAC SYSTEMS & SERVICES GMBH