Adaptive Wildlife Feed Ecosystem: AI-Driven Distribution

Publication ID: 24-11856925_0010_PTD

Published: October 26, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Wildlife Feed Ecosystem: AI-Driven Distribution,” Published Technical Disclosure No. 24-11856925_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856925_0010_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. 11,856,925.

Background and Problem Solved

The original broadcast feeder invention, while effective for dispensing feed, is limited by its static design and lack of adaptability to changing animal populations and environmental conditions. The new invention addresses these limitations by introducing a network of autonomous feeders that can dynamically adjust feed distribution based on real-time data analytics and machine learning algorithms.

Novelty and Inventive Step

The new invention's autonomous feeders, real-time data analytics, and machine learning algorithms introduce a paradigm shift in wildlife feeding, making it possible to adapt to changing environmental conditions and optimize feed distribution in ways not possible with the original broadcast feeder design. The inventive step lies in the integration of these technologies to create a self-sustaining wildlife feed ecosystem.

Alternative Embodiments and Variations

Alternative embodiments may include variations in feeder design, such as using different types of sensors or adjusting the frequency of data transmission. Additionally, the system could be adapted for use in different environmental contexts, such as agricultural or conservation settings. The invention could also be integrated with other technologies, such as drones or satellite imaging, to further enhance its capabilities.

Potential Commercial Applications and Market

The Adaptive Wildlife Feed Ecosystem has significant commercial potential in the wildlife management and conservation industries, as well as in agriculture and environmental monitoring. The invention could be marketed as a comprehensive solution for optimizing wildlife feed distribution, promoting ecological balance, and enhancing conservation efforts.

CPC Classifications

Section	Class	Group
A	A01	A01K5/0225

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Agricultural and Wildlife Management Technologies, specifically automated feed distribution systems with mechanical and sensor-based components for wildlife and livestock management

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in agricultural automation, mechanical design, sensor integration, and wildlife management technologies with a bachelor's or master's degree in mechanical engineering, agricultural engineering, or related field

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed autonomous feeder system represents a predictable technological progression from the source patent's broadcast feeder design by integrating standard sensor technologies, machine learning algorithms, and modular design principles that are well-established in agricultural automation and wildlife management domains.

Obvious Combinations & Variations

Source Patent Element

Planar attachment plate with feed opening for dispensing granules

PTD Variation

Modular wildlife feeder with interchangeable feed modules and universal attachment system

Obviousness Reasoning

Modular design is a known technique in mechanical systems, allowing predictable adaptation of existing feed distribution technologies to accommodate varying requirements

Source Patent Element

Feed hopper with central opening for dispensing feed

PTD Variation

Sensor-equipped feeder tracking feed consumption and animal behavior

Obviousness Reasoning

Integration of sensors with mechanical feed distribution systems is a standard engineering approach for monitoring and optimizing resource allocation

Source Patent Element

Broadcast feeder for wildlife feed distribution

PTD Variation

Network of autonomous feeders using machine learning to adapt to changing animal populations

Obviousness Reasoning

Applying machine learning and data analytics to existing feed distribution technologies represents an obvious extension of known computational approaches in agricultural management

Source Patent Element

Removable attachment mechanisms for feed distribution components

PTD Variation

Cloud-based platform providing personalized feed recommendations and predictive maintenance

Obviousness Reasoning

Connecting mechanical systems to cloud-based monitoring platforms is a predictable technological progression in IoT and agricultural automation domains

Source Patent Element

Mechanical feed dispensing mechanism

PTD Variation

Self-sustaining wildlife feed ecosystem powered by renewable energy sources

Obviousness Reasoning

Integrating renewable energy with existing mechanical feed distribution systems represents an obvious design optimization known in sustainable technology fields

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856925 and the disclosed technological variations, a Person Having Ordinary Skill In The Art would find the proposed autonomous wildlife feed distribution system and associated methodologies to be obvious variations that do not represent a non-obvious inventive step beyond the existing broadcast feeder technologies, thereby rendering potential patent claims in this domain anticipated and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,856,925
Title	Broadcast feeder