Advanced Vegetative Health Mapping System
Legal Citation
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
| Section | Class | Group |
|---|---|---|
| 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 |
Section 103 Obviousness Analysis (PHOSITA)
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
Original Patent Information
| Patent Number | US 11,856,883 |
|---|---|
| Title | Moisture and vegetative health mapping |
| Assignee(s) | Scythe Robotics, Inc. |