Published Technical Disclosure Archive

AI-Powered Precision Weed Control System

Publication ID: 24-11856937_0001_PTD
Published: October 26, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “AI-Powered Precision Weed Control System,” Published Technical Disclosure No. 24-11856937_0001_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856937_0001_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, as described in the patent, has limitations in terms of efficiency, accuracy, and adaptability. The new invention addresses these limitations by incorporating advanced image acquisition and analysis capabilities, enabling real-time detection and targeted treatment of weeds.

Novelty and Inventive Step

The new invention introduces the concept of real-time image acquisition and analysis, machine learning-based weed detection, and targeted mulching, which are not present in the original patent. These advancements provide a significant improvement in efficiency, accuracy, and adaptability, making the new invention novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different types of sensors, such as thermal or hyperspectral cameras, to enhance weed detection. Variations of the system could also include the integration of additional components, such as automated spraying units or soil moisture sensors, to further improve weed control efficiency.

Potential Commercial Applications and Market

The advanced apparatus and system for weed control have significant commercial potential in the agricultural, landscaping, and environmental management industries. The invention's ability to increase efficiency, reduce chemical usage, and improve crop yields makes it an attractive solution for farmers, landscapers, and environmental managers seeking to optimize their weed control strategies.

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 automated weed control systems, involving image processing, machine learning, and precision agricultural equipment with expertise in computer vision, sensor integration, and robotic agricultural interventions

Person of Ordinary Skill (PHOSITA) Profile

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

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable extensions of the source patent's core weed control technology by introducing incremental improvements in image acquisition, processing, and targeted intervention strategies using known machine learning and sensor integration techniques.

Obvious Combinations & Variations

Source Patent Element
Image acquisition and processing unit for identifying vegetation
PTD Variation
Real-time machine learning-based weed detection using high-resolution cameras and advanced image analysis algorithms
Obviousness Reasoning
Applying machine learning to image processing is a known technique in computer vision, and a PHOSITA would find it obvious to enhance vegetation identification using more sophisticated algorithmic approaches
Source Patent Element
Chemical spray unit for vegetation control
PTD Variation
Precision mulching unit controlled by image processing results to target specific weed-dense areas
Obviousness Reasoning
Substituting chemical spraying with targeted mulching represents a predictable alternative intervention method within agricultural precision technology
Source Patent Element
Camera-based environment monitoring system
PTD Variation
Drone-mounted and networked camera systems for comprehensive environmental scanning
Obviousness Reasoning
Expanding monitoring platforms using aerial and networked sensor technologies is an obvious design choice for improving spatial coverage and data collection
Source Patent Element
Processing unit for analyzing vegetation images
PTD Variation
Adaptive processing incorporating environmental factor analysis and dynamic intervention strategies
Obviousness Reasoning
Integrating contextual environmental data into decision-making processes represents a standard approach in developing intelligent agricultural systems
Source Patent Element
Location-based vegetation identification
PTD Variation
GPS-guided precision mulching with real-time spatial targeting
Obviousness Reasoning
Combining geolocation technologies with intervention mechanisms is a predictable enhancement in precision agricultural systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856937 and the disclosed variations, a person of ordinary skill in the art would find the claimed innovations obvious through standard technological progression, involving known techniques of machine learning, sensor integration, and precision agricultural interventions, thereby rendering potential patent claims in this domain anticipated and non-patentable.

Original Patent Information

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