Advanced Vegetative Health Mapping System

Publication ID: 24-11856883_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Vegetative Health Mapping System,” Published Technical Disclosure No. 24-11856883_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856883_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. 11,856,883.

Background and Problem Solved

The original patent, 'Moisture and Vegetative Health Mapping,' provided a foundational approach to detecting moisture levels and vegetative health. However, it relied on individual probes and limited data analysis. The new invention addresses the limitations of the original patent by introducing a more comprehensive, interconnected, and forward-thinking system that can predict and prevent vegetative health crises.

Novelty and Inventive Step

The new invention's novelty lies in its integration of advanced sensors, machine learning, and IoT connectivity to create a 4D vegetative health map, enabling autonomous optimization and precision agriculture. The inventive step is the development of a system that can predict and prevent vegetative health crises, going beyond the original patent's limited scope.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include using drones or autonomous vehicles for data collection, integrating with existing agricultural systems, or incorporating additional environmental factors such as soil composition and weather patterns. Variations of the invention could focus on specific industries, such as forestry or landscaping, or target specific types of vegetation, such as crops or turf.

Potential Commercial Applications and Market

The next-generation vegetative health mapping and optimization system has significant commercial potential in the agriculture, forestry, landscaping, and environmental monitoring industries. It could be marketed as a premium service for high-value crops, a cost-saving solution for water conservation, or a data-driven tool for precision agriculture. The system's ability to predict and prevent vegetative health crises makes it an attractive solution for industries seeking to minimize risks and optimize yields.

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

Precision Agriculture and Environmental Monitoring Technologies, involving sensor systems, data collection, and machine learning applications for vegetation health analysis

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in agricultural sensing technologies, data analytics, machine learning, IoT systems, and environmental monitoring techniques, typically holding a degree in agricultural engineering, computer science, or related technical field

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's variations represent predictable technological extensions of the source patent's core vegetative health mapping methodology. The fundamental approach of collecting environmental data, analyzing vegetation health, and generating actionable insights remains consistent across both disclosures. The PTD merely introduces incremental technological improvements using standard techniques in sensor integration, machine learning, and data processing that would be readily apparent to a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Receiving coordinates defining a bounded region of interest for vegetation monitoring
PTD Variation
Expanding data collection to include satellite-mounted sensors and IoT-enabled networks for broader environmental monitoring
Obviousness Reasoning
Extending sensor coverage is a predictable design choice for improving spatial resolution and data collection efficiency
Source Patent Element
Machine learning model for determining vegetative health indicators
PTD Variation
Implementing AI-powered early warning systems and personalized recommendation engines
Obviousness Reasoning
Applying machine learning to generate predictive insights is a known technique for enhancing diagnostic capabilities
Source Patent Element
Device configured for coupling to ground vehicles or handheld operation
PTD Variation
Integrating drone-based and autonomous vehicle data collection methods
Obviousness Reasoning
Utilizing alternative mobile platforms represents an obvious technological substitution for environmental sensing
Source Patent Element
Determining vegetative health degradation by comparing current and previous environmental data
PTD Variation
Creating 4D health maps incorporating temporal and spatial analysis with additional environmental factors
Obviousness Reasoning
Expanding data dimensionality is a straightforward enhancement using standard data integration techniques
Source Patent Element
Moisture level detection using ground-based sensors
PTD Variation
Implementing multi-sensor arrays collecting moisture, light, temperature, and soil composition data
Obviousness Reasoning
Integrating complementary environmental sensors represents a routine optimization in precision agriculture technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856883, a person having ordinary skill in agricultural monitoring technologies would find the claimed variations in the present publication to represent obvious technological extensions. The disclosed innovations constitute predictable combinations of known techniques in sensor integration, machine learning, and environmental data analysis, thereby rendering potential patent claims obvious under 35 U.S.C. ยง 103.

Original Patent Information

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