Published Technical Disclosure Archive

AI-Powered Autonomous Weed Control System

Publication ID: 24-11856937_0003_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Autonomous Weed Control System,” Published Technical Disclosure No. 24-11856937_0003_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856937_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. 11,856,937.

Background and Problem Solved

The original apparatus for weed control, while effective, has limitations in terms of real-time data analysis, autonomous operation, and secure data storage. The present invention addresses these limitations by combining the patented apparatus with advanced technologies to create more comprehensive and efficient weed control systems.

Novelty and Inventive Step

The new claims introduce novel and non-obvious combinations of the patented apparatus with distinct technologies, resulting in synergistic systems that provide enhanced performance, efficiency, and security. The inventive step lies in the integration of these technologies to create more powerful and autonomous weed control systems.

Alternative Embodiments and Variations

Alternative embodiments may include using different AI algorithms, sensor types, or communication protocols. Variations may include integrating the patented apparatus with other technologies such as robotics, computer vision, or precision agriculture.

Potential Commercial Applications and Market

The present invention has significant commercial potential in the agricultural industry, particularly in precision agriculture, autonomous farming, and sustainable weed control. The target market includes farmers, agricultural companies, and government agencies seeking to improve crop yields, reduce chemical usage, and increase efficiency.

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 technology and precision weed control systems, involving image processing, machine learning, sensor integration, and automated agricultural equipment with expertise in computer vision, AI-driven detection, and targeted herbicide/mulch application

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in agricultural engineering, robotics, or computer science, possessing knowledge of machine learning, sensor technologies, image analysis algorithms, and automated agricultural systems

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable technological extensions of the source patent's core weed control apparatus, applying known machine learning, IoT, and robotics techniques to enhance the existing image-based vegetation detection and control system. The disclosed combinations represent standard technological integration strategies within precision agriculture, utilizing well-established techniques to improve automation, data tracking, and environmental responsiveness.

Obvious Combinations & Variations

Source Patent Element
Image-based processing unit for analyzing vegetation environments
PTD Variation
Neural network-based image analysis module with enhanced weed detection capabilities
Obviousness Reasoning
Applying advanced machine learning techniques to image processing is a predictable evolution for improving detection accuracy, representing a known technique in computer vision systems
Source Patent Element
Chemical spray unit for targeted herbicide application
PTD Variation
IoT-enabled mulch application unit with remote communication and tracking capabilities
Obviousness Reasoning
Integrating communication and tracking technologies with agricultural equipment represents a standard design optimization approach with foreseeable technological improvements
Source Patent Element
Camera-based input for environmental analysis
PTD Variation
Drone-mounted high-resolution camera with wireless transmission of weed detection data
Obviousness Reasoning
Extending ground-based imaging to aerial platforms is an obvious technological progression using known robotics and communication integration techniques
Source Patent Element
Processing unit for determining herbicide application modes
PTD Variation
Machine learning module predicting optimal mulch application times based on environmental factors
Obviousness Reasoning
Expanding deterministic processing to predictive analytics represents a standard approach in agricultural technology, utilizing known machine learning methodologies
Source Patent Element
Image-based vegetation detection system
PTD Variation
Blockchain-based data storage for tracking weed control processes
Obviousness Reasoning
Implementing distributed ledger technologies for agricultural process tracking is a predictable technological enhancement with well-understood implementation strategies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856937 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed agricultural control system innovations obvious and lacking inventive step, as the combinations represent predictable applications of known machine learning, robotics, and communication technologies to existing weed control methodologies.

Original Patent Information

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