Integrated Livestock Feed Optimization System

Publication ID: 24-11857596_0008_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Integrated Livestock Feed Optimization System,” Published Technical Disclosure No. 24-11857596_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857596_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. 11,857,596.

Summary of the Inventive Concept

The present invention relates to a novel system integrating a feed additive containing a physiologically active substance with AI, IoT, blockchain, and machine learning technologies to optimize livestock feed formulation, improve gut health, and enhance feed production efficiency.

Background and Problem Solved

The original patent disclosed a coated-type feed additive composition for improving body weight gain of livestock or feed conversion ratio. However, the patent's limitations lie in its inability to provide real-time monitoring, predictive analytics, and decentralized data management. The present inventive concept addresses these limitations by integrating distinct technologies to create a more powerful system.

Detailed Description of the Inventive Concept

The inventive concept comprises a feed additive containing a physiologically active substance, such as a bacteriocin, which strengthens the membrane of intestinal epithelial cells. The feed additive is combined with AI-powered predictive analytics for optimizing feed formulation, IoT sensors for real-time monitoring of gut microbiome dynamics, and a blockchain-based tracking system for monitoring feed quality. Additionally, the system integrates machine learning-based feed formulation optimization, decentralized data storage, and 3D printing for customized feed pellet fabrication.

Novelty and Inventive Step

The inventive concept's novelty lies in the synergistic combination of the feed additive with AI, IoT, blockchain, and machine learning technologies, which provides a more comprehensive and efficient system for optimizing livestock feed. The inventive step is the integration of these distinct technologies to create a novel system that overcomes the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include integrating computer vision and machine learning algorithms for quality control, using different types of physiologically active substances, or incorporating additional IoT sensors for monitoring environmental factors. Variations may include applying the system to different livestock species or integrating with existing farm management systems.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the livestock feed industry, particularly in the areas of precision agriculture, animal health, and sustainable food production. The target market includes livestock farmers, feed manufacturers, and agricultural technology companies seeking to improve feed efficiency and reduce environmental impact.

CPC Classifications

Section	Class	Group
A	A61	A61K38/12
A	A23	A23K10/16
A	A23	A23K20/111
A	A23	A23K20/142
A	A23	A23K20/195
A	A23	A23K20/26
A	A23	A23K40/30
A	A23	A23K50/75
A	A61	A61K31/198
A	A61	A61K31/405
A	A61	A61K31/683
A	A61	A61K35/747
A	A61	A61K47/22
A	A61	A61K47/44
A	A23	A23V2400/157
A	A23	A23V2400/169

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Agricultural biotechnology and animal nutrition, specifically focused on feed additives, microbiome optimization, and livestock performance enhancement. Requires expertise in microbiology, nutritional science, and emerging digital technologies for agricultural systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degree in agricultural science, biotechnology, or veterinary nutrition, possessing knowledge of microbial interactions, feed formulation, and emerging digital technologies for agricultural optimization

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies with established feed additive strategies represents a natural technological progression. The combination of bacteriocin-based feed additives with AI, IoT, and blockchain technologies provides predictable improvements in livestock management and nutrition monitoring. The technical elements are well-known in their respective domains and their integration represents an obvious extension of existing agricultural technology approaches.

Obvious Combinations & Variations

Source Patent Element

Coated feed additive containing bacteriocin for improving livestock gut health

PTD Variation

Adding AI-powered predictive analytics for feed formulation optimization

Obviousness Reasoning

Applying machine learning to nutritional optimization is a known technique in agricultural science, representing a predictable application of digital technologies to existing nutritional strategies

Source Patent Element

Bacteriocin-based physiologically active substance for strengthening intestinal membrane

PTD Variation

Integrating IoT sensors for real-time gut microbiome monitoring

Obviousness Reasoning

Extending nutritional interventions with digital monitoring represents a logical technological progression with finite, predictable implementation strategies

Source Patent Element

Feed additive composition targeting livestock performance improvement

PTD Variation

Blockchain-based tracking system for feed quality and provenance management

Obviousness Reasoning

Implementing distributed ledger technologies for agricultural supply chain tracking is a known technique with clear technological precedents

Source Patent Element

Microorganism-derived bacteriocin feed additives

PTD Variation

3D printing customized feed pellets with integrated physiologically active substances

Obviousness Reasoning

Advanced manufacturing techniques applied to feed production represent an obvious technological extension with predictable implementation approaches

Source Patent Element

Livestock feed composition targeting body weight gain

PTD Variation

Machine learning algorithms for adaptive feed formulation based on individual animal performance

Obviousness Reasoning

Applying data-driven optimization techniques to nutritional interventions is a straightforward technological progression with finite, identifiable solution strategies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857596 and the disclosed technological variations, a person having ordinary skill in the art would find the integration of digital technologies with bacteriocin-based feed additives to be an obvious technological extension. The combination of known nutritional strategies with emerging digital monitoring and optimization techniques represents a predictable advancement in agricultural biotechnology, thereby rendering potential patent claims obvious and non-patentable.

Original Patent Information

Patent Number	US 11,857,596
Title	Animal feed additive and animal feed
Assignee(s)	AJINOMOTO CO., INC.