Published Technical Disclosure Archive

Next-Gen Hybrid Corn Breeding: AI-Driven Agricultural Innovation

Publication ID: 24-11856909_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Gen Hybrid Corn Breeding: AI-Driven Agricultural Innovation,” Published Technical Disclosure No. 24-11856909_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856909_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. 11,856,909.

Background and Problem Solved

The original patent for hybrid corn variety CH011205, while providing a high-yielding corn variety, has limitations in terms of its reliance on traditional breeding methods and lack of autonomous farming capabilities. The new invention addresses these limitations by introducing a paradigm shift in corn breeding and production through the integration of cutting-edge technologies.

Novelty and Inventive Step

The new claims introduce a novel and non-obvious combination of machine learning, gene editing, and robotics in corn breeding and production, significantly departing from the traditional breeding methods and limited autonomous farming capabilities of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different machine learning algorithms, gene editing tools, or robotic systems. Additionally, the invention could be adapted for other crops or integrated with existing farming infrastructure.

Potential Commercial Applications and Market

The next-generation corn breeding and production system has significant commercial potential in the agricultural industry, with potential applications in precision agriculture, autonomous farming, and sustainable crop production. The target market includes major agricultural companies, farming cooperatives, and governments seeking to enhance food security and reduce environmental impact.

CPC Classifications

SectionClassGroup
A A01 A01H6/4684
A A01 A01H5/10

Field of Art

Agricultural biotechnology, specifically corn breeding, genetic engineering, and precision agriculture technologies involving plant genetics, crop improvement, and advanced farming systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in plant genetics, biotechnology, or agricultural engineering, possessing expertise in genetic modification techniques, machine learning applications in agriculture, and understanding of crop breeding methodologies

Obviousness Rationale

A PHOSITA would recognize that the disclosed variations represent predictable extensions of existing corn breeding technologies, leveraging known machine learning, gene editing, and autonomous farming techniques to incrementally improve crop performance and production methods. The technical solutions proposed are logical combinations of established agricultural biotechnology approaches with emerging digital technologies. The variations demonstrate systematic problem-solving within a well-understood technological domain.

Obvious Combinations & Variations

Source Patent Element
Hybrid corn variety breeding methodology focused on trait combination and genetic optimization
PTD Variation
Machine learning module predicting optimal genetic combinations and using CRISPR-Cas9 for targeted gene editing
Obviousness Reasoning
Predictable application of known machine learning techniques to existing genetic breeding processes, representing an obvious technological progression in precision agriculture
Source Patent Element
Corn plant variety development targeting specific agricultural performance characteristics
PTD Variation
Enhanced drought tolerance through novel genetic mutations increasing water retention
Obviousness Reasoning
Known genetic engineering approach of identifying and introducing beneficial mutations, representing a standard technique in crop improvement
Source Patent Element
Traditional corn cultivation methods involving manual monitoring and intervention
PTD Variation
Autonomous drone-based monitoring and robotic farming systems with adaptive fertilization strategies
Obviousness Reasoning
Logical integration of emerging digital technologies into established agricultural practices, utilizing predictable technological convergence
Source Patent Element
Corn-based agricultural production focused on yield and genetic performance
PTD Variation
Vertical farming systems and biodegradable corn-derived bioplastics expanding agricultural value chain
Obviousness Reasoning
Obvious technological extension exploring alternative applications of corn-based technologies using known engineering principles
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856909 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and non-patentable, as they represent predictable combinations of known agricultural biotechnology techniques with emerging digital technologies, demonstrating no inventive step beyond the ordinary capabilities of skilled practitioners in the field.

Original Patent Information

Patent NumberUS 11,856,909
TitlePlants and seeds of hybrid corn variety CH011205
Assignee(s)MONSANTO TECHNOLOGY LLC