AI-Powered Wastewater Irrigation Drone System

Publication ID: 24-11856901_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Wastewater Irrigation Drone System,” Published Technical Disclosure No. 24-11856901_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856901_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. 11,856,901.

Background and Problem Solved

The original patent addressed the limitations of traditional land application systems for wastewater treatment. However, it relied on manual measurements and lacked real-time monitoring capabilities, resulting in inefficient irrigation and potential environmental hazards. The new invention overcomes these limitations by introducing autonomous drones, IoT sensors, and AI-powered controllers to optimize irrigation schedules and volumes, ensuring efficient water and energy use.

Novelty and Inventive Step

The invention's novelty lies in the integration of autonomous drones, IoT sensors, and AI-powered controllers to create a real-time monitoring and optimization system for wastewater irrigation. The use of microbial fuel cells, mycelium networks, and vertically-integrated agricultural facilities represents a significant departure from traditional land application systems, providing a more efficient, sustainable, and self-sustaining solution.

Alternative Embodiments and Variations

Alternative embodiments may include using satellite imaging or other remote sensing technologies for monitoring, or incorporating other types of renewable energy sources, such as solar or wind power, to support the system's energy needs. Variations may include adapting the system for use in urban agriculture, or integrating it with existing wastewater treatment infrastructure.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural and wastewater treatment industries, particularly in regions where water scarcity is a concern. The system's ability to optimize water and energy use, while providing a sustainable and self-sustaining agricultural ecosystem, makes it an attractive solution for farmers, agricultural companies, and municipalities seeking to reduce their environmental footprint.

CPC Classifications

SectionClassGroup
A A01 A01G25/167
C C02 C02F3/327

Field of Art

Agricultural irrigation systems and wastewater treatment technologies, involving expertise in soil moisture management, environmental engineering, sensor networks, and precision agriculture techniques

Person of Ordinary Skill (PHOSITA) Profile

A professional with a degree in agricultural engineering, environmental science, or related field, having knowledge of irrigation control systems, sensor technologies, and wastewater management strategies

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed innovations represent predictable technological extensions of the source patent's core irrigation control methodology. The integration of autonomous monitoring technologies and AI-powered controllers naturally follows from the source patent's fundamental goal of precise soil moisture management. The disclosed variations represent logical combinations of known technologies to achieve more granular and responsive wastewater irrigation control.

Obvious Combinations & Variations

Source Patent Element
Soil water tension measurement for irrigation control
PTD Variation
Using autonomous drones and IoT sensors for real-time soil water tension monitoring
Obviousness Reasoning
Replacing manual soil tension measurements with automated sensor networks is a predictable technological upgrade using known sensor and drone technologies
Source Patent Element
Adjusting irrigation duration based on soil moisture criteria
PTD Variation
AI-powered controllers dynamically optimizing irrigation schedules
Obviousness Reasoning
Implementing machine learning algorithms to automate irrigation adjustment is a standard engineering approach for improving control system responsiveness
Source Patent Element
Land application of wastewater for vegetation support
PTD Variation
Integrating microbial fuel cells and mycelium networks for distributed water treatment
Obviousness Reasoning
Exploring alternative biological treatment mechanisms represents a logical extension of existing wastewater management principles using known biotechnological approaches
Source Patent Element
Irrigation zone moisture management
PTD Variation
Vertically-integrated agricultural facilities with closed-loop wastewater recycling
Obviousness Reasoning
Developing more compact and efficient agricultural water management systems is a predictable innovation driven by resource optimization goals
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856901 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed wastewater irrigation innovations obvious and lacking non-obvious inventive merit. The combination of autonomous monitoring, AI-driven control systems, and advanced biological treatment mechanisms represents predictable technological improvements within the existing state of the art in irrigation and wastewater management.

Original Patent Information

Patent NumberUS 11,856,901
TitleControlled irrigation process and system for land application of wastewater
Assignee(s)GROUPE RAMO INC.