Advanced AI-Driven Corn Breeding Technology

Publication ID: 24-11856912_0005_PTD

Published: October 26, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced AI-Driven Corn Breeding Technology,” Published Technical Disclosure No. 24-11856912_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856912_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. 11,856,912.

Background and Problem Solved

The original patent, 'Plants and seeds of hybrid corn variety CH011176,' demonstrates the conventional breeding approach, which is time-consuming, labor-intensive, and often limited by the lack of desirable traits. This invention addresses these limitations by leveraging cutting-edge technologies to accelerate corn breeding cycles, predict optimal hybridization outcomes, and optimize cultivation conditions.

Novelty and Inventive Step

The invention's novelty lies in the integration of AI, machine learning, and genome editing to create a paradigm shift in corn breeding and production. The inventive step is the use of these technologies to predict optimal hybridization outcomes, accelerate breeding cycles, and optimize cultivation conditions, which is not disclosed in the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different AI algorithms, genome editing tools, or cultivation systems. Variations may involve the application of these technologies to other crops or the development of new hybrid corn varieties with distinct traits.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agriculture industry, enabling companies to develop high-performing, sustainable corn varieties that meet the demands of a growing global population. The target market includes seed companies, farmers, and agricultural biotechnology firms.

CPC Classifications

Section	Class	Group
A	A01	A01H6/4684
A	A01	A01H5/10

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Agricultural biotechnology, specifically corn breeding and genetic engineering, involving advanced techniques in plant genetics, genomic selection, and precision agriculture technologies

Person of Ordinary Skill (PHOSITA) Profile

A professional with a PhD in plant genetics or agricultural biotechnology, experienced in molecular breeding techniques, AI/machine learning applications in agriculture, and advanced genomic analysis tools

Obviousness Rationale

A PHOSITA would recognize that the integration of AI and machine learning into corn breeding represents a natural progression of existing genetic improvement methodologies. The source patent establishes a foundation of hybrid corn variety development, which the PTD extends through predictive technologies. The use of computational tools to optimize breeding processes is a logical and foreseeable advancement in agricultural biotechnology.

Obvious Combinations & Variations

Source Patent Element

Hybrid corn variety breeding methodology involving specific parental line selection

PTD Variation

Machine learning algorithms for predicting optimal hybridization outcomes and parental line selection

Obviousness Reasoning

Predictable application of computational techniques to existing breeding methodologies, representing an obvious design choice for accelerating genetic improvement processes

Source Patent Element

Genetic trait identification in corn varieties

PTD Variation

Genome editing tools for targeted trait introgression and mutation introduction

Obviousness Reasoning

Known technique of precision genetic modification, representing a straightforward extension of existing genetic engineering capabilities

Source Patent Element

Plant cultivation techniques for hybrid corn varieties

PTD Variation

Controlled environment plant growth chambers with sensor networks for real-time monitoring

Obviousness Reasoning

Predictable technological enhancement of cultivation practices using standard IoT and sensor technologies

Source Patent Element

Genetic marker identification for hybrid corn development

PTD Variation

Data analytics platform integrating genetic marker databases with predictive modeling tools

Obviousness Reasoning

Obvious combination of existing genetic databases with computational analysis techniques, representing a standard approach to agricultural research

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856912 and the disclosed technological variations, a person of ordinary skill in agricultural biotechnology would find the claimed innovations obvious and non-patentable. The integration of AI, machine learning, and genome editing technologies represents a predictable and incremental advancement in corn breeding methodologies, lacking the requisite non-obviousness for patent protection under 35 U.S.C. § 103.

Original Patent Information

Patent Number	US 11,856,912
Title	Plants and seeds of hybrid corn variety CH011176
Assignee(s)	MONSANTO TECHNOLOGY LLC