Published Technical Disclosure Archive

Autonomous UAV Weed Control System: Precision Agriculture

Publication ID: 24-11856937_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous UAV Weed Control System: Precision Agriculture,” Published Technical Disclosure No. 24-11856937_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856937_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. 11,856,937.

Background and Problem Solved

The original apparatus for weed control, while effective, has limitations in terms of efficiency, scalability, and adaptability. The new invention addresses these limitations by introducing a swarm of unmanned aerial vehicles (UAVs), real-time weed detection, and modular mulch application units, enabling a more autonomous, efficient, and targeted approach to weed control.

Novelty and Inventive Step

The new claims introduce a paradigm shift in weed control technology by leveraging autonomous vehicles, AI, and bio-inspired robotics. The invention's novelty lies in the cooperative surveying and mulch application capabilities of the UAVs, the real-time weed detection and targeting using machine learning algorithms, and the modular, interchangeable design of the sensor modules and mulch application units.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of ground-based autonomous vehicles, different types of sensors and cameras, or various mulch application methods. Variations of the invention could be tailored to specific industries, such as agriculture, landscaping, or forestry.

Potential Commercial Applications and Market

The Autonomous Weed Control Ecosystem has significant commercial potential in various industries, including agriculture, landscaping, forestry, and environmental conservation. The system's efficiency, scalability, and adaptability make it an attractive solution for large-scale vegetation management, with potential applications in precision farming, urban planning, and ecosystem restoration.

CPC Classifications

SectionClassGroup
A A01 A01M21/043
A A01 A01M7/00
E E01 E01H11/00
G G05 G05B15/02
G G06 G06F18/24
G G06 G06T7/0008
G G06 G06T7/70
G G06 G06V20/188
G G06 G06V20/56
H H04 H04N23/54
G G06 G06T2207/30188

Field of Art

Agricultural robotics and autonomous weed control systems, involving image processing, machine learning, sensor integration, and precision agricultural technologies

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in robotics, computer vision, agricultural engineering, with knowledge of autonomous systems, sensor technologies, and machine learning algorithms for environmental monitoring and targeted intervention

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable technological extensions of the source patent's core weed control apparatus, leveraging standard techniques in autonomous robotics, sensor integration, and machine learning to enhance precision and scalability of weed management strategies.

Obvious Combinations & Variations

Source Patent Element
Image acquisition and processing unit for identifying vegetation locations
PTD Variation
Swarm of UAVs with cooperative surveying and machine learning-enhanced weed detection
Obviousness Reasoning
Extending single-device image processing to distributed autonomous systems is a known design approach in robotics, with predictable improvements in coverage and detection accuracy
Source Patent Element
Chemical spray unit for targeted herbicide application
PTD Variation
Mulch application units with real-time targeting based on machine learning analysis
Obviousness Reasoning
Substituting mulch for chemical spray represents a straightforward design variation addressing environmental concerns, using identical targeting principles
Source Patent Element
Processing unit configured to determine herbicide application modes
PTD Variation
Cloud-based processing unit dynamically selecting optimal mulch application strategies
Obviousness Reasoning
Transitioning from local to cloud-based decision making is a standard technological progression in autonomous systems, offering enhanced computational capabilities
Source Patent Element
Camera-based environment image acquisition
PTD Variation
Bio-inspired micro-robot swarms mimicking natural weed control behaviors
Obviousness Reasoning
Biomimetic design is a recognized approach in robotics for solving environmental monitoring and intervention challenges
Source Patent Element
Apparatus for inhibiting vegetation growth through targeted intervention
PTD Variation
Modular system with interchangeable sensor and application units
Obviousness Reasoning
Developing modular, configurable systems is a standard engineering approach to increase adaptability and reduce system complexity
35 U.S.C. § 103 Summary: Based on US Patent 11856937's teachings of image-based weed control apparatus, the present publication demonstrates that a person of ordinary skill in the art would find the disclosed autonomous, machine learning-enhanced, and biomimetic weed control variations obvious and predictable extensions of existing technological approaches, thus rendering potential future patent claims obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,856,937
TitleApparatus for weed control
Assignee(s)Discovery Purchaser Corporation