Published Technical Disclosure Archive

AI-Driven Moisture Mapping for Smart Agriculture

Publication ID: 24-11856883_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Driven Moisture Mapping for Smart Agriculture,” Published Technical Disclosure No. 24-11856883_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856883_0008_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', addressed the limitation of individual probes inserted into the ground to detect moisture levels. However, it lacked the ability to integrate with other technologies to provide a comprehensive vegetative health management system. The new invention solves this problem by combining the patented invention with AI, IoT, blockchain, and new materials to create a synergistic system that provides real-time monitoring, predictive analytics, and autonomous decision-making.

Novelty and Inventive Step

The novelty of the invention lies in the synergistic combination of the moisture and vegetative health mapping device with AI, IoT, blockchain, and new materials. The inventive step is the integration of these distinct technologies to create a comprehensive vegetative health management system that provides real-time monitoring, predictive analytics, and autonomous decision-making.

Alternative Embodiments and Variations

Alternative embodiments of the invention may include integrating the moisture and vegetative health mapping device with other technologies, such as machine learning models, computer vision, or robotics. Variations of the invention may include different types of sensors, data analytics platforms, or actuation systems.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural, horticultural, and environmental industries. It can be used for precision agriculture, smart gardening, and environmental monitoring, providing a competitive advantage in terms of resource optimization, yield improvement, and environmental sustainability.

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

Agricultural technology and precision farming, focusing on vegetation monitoring systems with emphasis on moisture mapping, environmental sensing, and data-driven agricultural management techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in agricultural engineering, remote sensing technologies, data analytics, and sensor integration, typically holding a bachelor's or master's degree in agricultural engineering, computer science, or related field with 3-5 years of practical experience in precision agriculture technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that the published technical disclosure represents predictable combinations of known agricultural monitoring technologies with emerging digital platforms. The integration of IoT sensors, blockchain, and AI with moisture mapping represents standard technological convergence in precision agriculture. These variations would be considered obvious extensions of the source patent's core moisture and vegetative health mapping methodology.

Obvious Combinations & Variations

Source Patent Element
Three-dimensional mapping of vegetative health using sensor data
PTD Variation
Integrating blockchain-based data storage and IoT sensor networks for enhanced data management
Obviousness Reasoning
Blockchain and IoT are well-known technologies for secure data transmission and storage, representing a predictable application of existing digital infrastructure to agricultural monitoring systems
Source Patent Element
Machine learning model for determining vegetative health
PTD Variation
AI-powered predictive analytics for autonomous treatment strategy determination
Obviousness Reasoning
Extending machine learning techniques to generate autonomous decision-making capabilities is a logical and foreseeable progression in agricultural monitoring technologies
Source Patent Element
Moisture detection and vegetative health mapping device
PTD Variation
Integration with new material-based soil amendment systems for targeted nutrient delivery
Obviousness Reasoning
Combining sensing technologies with targeted intervention methods represents a standard approach in precision agriculture, utilizing known techniques to enhance agricultural management
Source Patent Element
Ground vehicle or handle-based sensor deployment
PTD Variation
IoT-enabled actuation systems for autonomous treatment execution
Obviousness Reasoning
Automating treatment processes based on sensor data is a predictable technological evolution in agricultural monitoring systems
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed herein would be considered obvious to a person having ordinary skill in the art at the time of invention, as they represent predictable combinations of known technologies extending the teachings of US Patent 11856883, with no invention rising above the level of ordinary technical skill in the agricultural monitoring domain.

Original Patent Information

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