Published Technical Disclosure Archive

AI-Driven Hybrid Corn Breeding: Next-Gen Agriculture Tech

Publication ID: 24-11856912_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Driven Hybrid Corn Breeding: Next-Gen Agriculture Tech,” Published Technical Disclosure No. 24-11856912_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856912_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. 11,856,912.

Background and Problem Solved

The original patent CH011176 presented a breakthrough in hybrid corn breeding, but its limitations lie in the manual selection of parental lines and the lack of disease resistance. This new invention addresses these limitations by integrating machine learning, genome editing, and autonomous farming to create a next-generation hybrid corn breeding and farming system.

Novelty and Inventive Step

The new invention's novelty lies in the integration of AI-driven hybrid corn breeding, genome editing for disease resistance, autonomous farming, and biofuel production. The inventive step is the coordination of these components to create a holistic system that revolutionizes the corn industry.

Alternative Embodiments and Variations

Alternative embodiments include using different machine learning models, genome editing tools, or autonomous farming systems. Variations of the invention could focus on other crops, such as soybeans or wheat, or integrate with existing farming infrastructure.

Potential Commercial Applications and Market

The next-generation hybrid corn breeding and farming system has the potential to transform the corn industry, providing higher yields, improved disease resistance, and more efficient farming practices. The market for this invention includes corn producers, biofuel manufacturers, and agricultural technology companies.

CPC Classifications

SectionClassGroup
A A01 A01H6/4684
A A01 A01H5/10

Field of Art

Plant Breeding and Agricultural Biotechnology, specifically corn (maize) genetics and breeding techniques, involving genetic manipulation, hybrid development, and agricultural technology integration

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in plant genetics, biotechnology, or agricultural science, possessing expertise in machine learning, genome editing, crop breeding techniques, and understanding of computational approaches to agricultural innovation

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed AI-driven hybrid breeding and genome editing techniques represent predictable extensions of existing corn breeding methodologies, leveraging known computational and genetic engineering tools to enhance existing hybrid development processes. The disclosed variations systematically apply established biotechnological approaches to improve corn variety development, utilizing machine learning and genome editing as standard techniques in contemporary agricultural research. These innovations represent incremental technological improvements that would be obvious to a skilled practitioner familiar with modern plant breeding strategies.

Obvious Combinations & Variations

Source Patent Element
Hybrid corn variety breeding methodology involving specific genetic crosses between parental varieties
PTD Variation
Machine learning model for predicting optimal hybrid corn variety combinations based on genetic and phenotypic characteristics
Obviousness Reasoning
Computational prediction of breeding outcomes is a known technique, representing a predictable application of machine learning to existing hybrid breeding processes
Source Patent Element
Genetic characterization of corn varieties for trait identification
PTD Variation
Genome editing to introduce disease resistance genes through targeted genetic marker manipulation
Obviousness Reasoning
Targeted genome modification is a standard technique in contemporary plant breeding, representing a predictable extension of existing genetic characterization methods
Source Patent Element
Corn variety development focused on improving agricultural performance
PTD Variation
Autonomous farming system using drone-based monitoring and sensor technologies for crop health management
Obviousness Reasoning
Integration of sensor technologies and computational monitoring represents an obvious technological progression in precision agriculture
Source Patent Element
Corn variety research with potential industrial applications
PTD Variation
Novel enzyme cocktail development for corn-based biofuel production
Obviousness Reasoning
Enzymatic processing of agricultural products for alternative energy represents a known and predictable technological approach in biotechnological research
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856912 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed innovations obvious and non-patentable, as they represent predictable applications of known computational, genetic, and agricultural technologies to existing corn breeding methodologies. The variations constitute obvious combinations of prior art techniques that would be readily conceived by a skilled practitioner in plant biotechnology and agricultural engineering.

Original Patent Information

Patent NumberUS 11,856,912
TitlePlants and seeds of hybrid corn variety CH011176
Assignee(s)MONSANTO TECHNOLOGY LLC