Published Technical Disclosure Archive

AI-Powered Smart Irrigation System: IoT Water Management

Publication ID: 24-11856899_0008_PTD
Published: October 26, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Smart Irrigation System: IoT Water Management,” Published Technical Disclosure No. 24-11856899_0008_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856899_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. 11,856,899.

Background and Problem Solved

The original patent provided a foundation for monitoring and controlling movable towers in irrigation systems. However, it lacked the ability to integrate with emerging technologies, leading to inefficiencies and limited optimization capabilities. The new invention addresses these limitations by incorporating AI, IoT, blockchain, and computer vision to create a more powerful and efficient irrigation system.

Novelty and Inventive Step

The new invention introduces a synergistic combination of AI, IoT, blockchain, and computer vision, which is not obvious from the original patent. The integration of these technologies enables real-time monitoring, optimized irrigation patterns, and sustainable farming practices, thereby providing a novel and non-obvious solution.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include using different types of sensors, such as acoustic or radar sensors, or integrating with other emerging technologies like 5G networks or augmented reality. Variations of the invention could also focus on specific crops or regions, tailoring the system to address unique challenges and opportunities.

Potential Commercial Applications and Market

The Smart Irrigation System has significant commercial potential in the agriculture and water management industries. The system's ability to optimize crop yields, conserve water, and promote sustainable farming practices makes it an attractive solution for farmers, agricultural companies, and governments seeking to improve food security and reduce environmental impact.

CPC Classifications

SectionClassGroup
A A01 A01G25/092
A A01 A01G25/16
E E04 E04H12/344

Field of Art

Agricultural irrigation systems with networked electronic monitoring and control technologies, focusing on movable tower irrigation systems with network-enabled positioning and sensor integration

Person of Ordinary Skill (PHOSITA) Profile

An electrical engineer or agricultural systems specialist with expertise in networked sensor systems, embedded control technologies, and irrigation equipment design, typically holding a BS/MS in electrical engineering or agricultural engineering

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed variations represent predictable technological extensions of the source patent's networked irrigation monitoring system, utilizing well-established techniques in IoT, machine learning, and sensor integration to enhance existing irrigation control methodologies.

Obvious Combinations & Variations

Source Patent Element
Network switches located on multiple towers for monitoring system parameters
PTD Variation
Blockchain-based ledger for recording tower position data
Obviousness Reasoning
Implementing a blockchain ledger represents a known technique for secure, distributed data tracking that would be an obvious enhancement to existing networked monitoring systems
Source Patent Element
Controller configured to send report data including positioning, temperature, and error information
PTD Variation
AI-powered controller analyzing sensor data to optimize irrigation patterns
Obviousness Reasoning
Applying machine learning techniques to sensor data analysis is a predictable evolution of existing monitoring and control systems with well-understood implementation strategies
Source Patent Element
Electronic monitoring of irrigation system tower positioning and operational parameters
PTD Variation
Computer vision integration for crop stress detection and targeted irrigation recommendations
Obviousness Reasoning
Expanding sensor-based monitoring to include visual analysis represents a logical extension of existing electronic monitoring technologies with finite, predictable implementation approaches
Source Patent Element
Network-enabled control systems for irrigation tower positioning and operation
PTD Variation
IoT sensor network providing real-time data on soil moisture, temperature, and crop health
Obviousness Reasoning
Integrating additional sensor types into existing networked control systems is a routine design choice for expanding monitoring capabilities
Source Patent Element
Electronic control systems for managing irrigation tower parameters
PTD Variation
Machine learning-based predictive model for forecasting weather patterns and optimizing irrigation schedules
Obviousness Reasoning
Applying predictive modeling to existing control systems represents a standard technological progression with well-understood implementation methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856899 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed innovations obvious and lacking inventive step, as they represent predictable technological extensions utilizing known techniques in networked sensor systems, machine learning, and agricultural monitoring technologies.

Original Patent Information

Patent NumberUS 11,856,899
TitleMonitoring and control of a movable tower in an irrigation system
Assignee(s)Reinke Manufacturing Company, Inc.