Published Technical Disclosure Archive

Advanced Environmental Monitoring Tech for Multiple Industries

Publication ID: 24-11856883_0007_PTD
Published: October 26, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Advanced Environmental Monitoring Tech for Multiple Industries,” Published Technical Disclosure No. 24-11856883_0007_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856883_0007_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. 11,856,883.

Background and Problem Solved

The original patent addressed the limitations of traditional moisture detection methods in agriculture, but the technology has broader applications. This invention adapts the core technology to tackle unique challenges in various industries, providing a comprehensive solution for environmental health monitoring and optimization.

Novelty and Inventive Step

The new claims introduce novel applications and use cases that were not originally considered in the original patent. The inventive step lies in adapting the core technology to address specific challenges in these new industries, providing a comprehensive solution for environmental health monitoring and optimization.

Alternative Embodiments and Variations

Alternative embodiments include using different types of sensors, such as acoustic or optical sensors, or integrating the system with existing infrastructure, such as building management systems or industrial control systems. Variations of the invention could include using machine learning models to predict environmental health trends or integrating with other data sources to provide a more comprehensive view of environmental health.

Potential Commercial Applications and Market

The invention has significant commercial potential in various industries, including indoor air quality monitoring, mold growth prevention, agriculture, aquarium management, and industrial process optimization. The market for environmental health monitoring and optimization solutions is growing rapidly, and this invention is well-positioned to capitalize on this trend.

CPC Classifications

SectionClassGroup
A A01 A01C21/007
A A01 A01B69/004
A A01 A01C7/06
A A01 A01C7/102
A A01 A01C23/007
A A01 A01M7/0089
G G05 G05D1/0246
G G05 G05D1/0257
G G06 G06N20/00
G G06 G06T7/0012
G G06 G06T7/70
G G06 G06T17/05
G G05 G05D2201/0201
G G06 G06T2207/10004
G G06 G06T2207/10028
G G06 G06T2207/10044
G G06 G06T2207/20081
G G06 G06T2207/30188

Field of Art

Environmental monitoring and sensing technologies, with expertise in geospatial mapping, sensor integration, and data processing for agricultural, industrial, and environmental health applications

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in engineering, computer science, or environmental sciences, possessing knowledge of sensor technologies, machine learning, data visualization, and three-dimensional mapping techniques

Obviousness Rationale

A PHOSITA would recognize that the source patent's core technology of generating three-dimensional environmental mapping can be readily adapted to multiple domains by substituting sensor types and target environments. The fundamental methodology of collecting spatial sensor data, processing it through machine learning models, and generating actionable insights remains consistent across the disclosed variations.

Obvious Combinations & Variations

Source Patent Element
Three-dimensional mapping of vegetative health using sensor data and machine learning models
PTD Variation
Applying identical mapping methodology to indoor air quality, crop yields, aquarium water quality, and industrial process monitoring
Obviousness Reasoning
Predictable extension of existing technology using known sensor integration and data processing techniques, representing a simple substitution of sensor types within a well-established technical framework
Source Patent Element
Device capable of coupling to ground vehicles or being manually operated
PTD Variation
Integrating sensor systems with building management, industrial control systems, and mobile monitoring platforms
Obviousness Reasoning
Obvious design adaptation demonstrating how a PHOSITA would recognize the transferability of mounting and deployment strategies across different environmental monitoring contexts
Source Patent Element
Generating health indicators and recommending treatments based on sensor data analysis
PTD Variation
Providing actionable recommendations for preventing mold growth, improving crop yields, and optimizing industrial processes
Obviousness Reasoning
Predictable application of machine learning-driven recommendation systems, representing a logical extension of the source patent's core diagnostic and prescriptive capabilities
35 U.S.C. § 103 Summary: Based on US Patent 11856883's comprehensive environmental monitoring methodology, the present publication demonstrates that a person having ordinary skill in the art would find the disclosed variations obvious through routine application of known sensor integration, data processing, and machine learning techniques. The variations represent predictable extensions of the source patent's core technological framework, rendering subsequent claims obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,856,883
TitleMoisture and vegetative health mapping
Assignee(s)Scythe Robotics, Inc.