Published Technical Disclosure Archive

AI-Powered Corn Breeding: Next-Gen Agricultural Innovation

Publication ID: 24-11856913_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Corn Breeding: Next-Gen Agricultural Innovation,” Published Technical Disclosure No. 24-11856913_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856913_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. 11,856,913.

Background and Problem Solved

The original patent, 'Plants and seeds of hybrid corn variety CH011009,' provided a significant improvement in corn breeding. However, the limitations of traditional breeding methods and the lack of integration with advanced technologies hindered further progress. The present invention addresses these limitations by introducing a paradigm shift in corn breeding and farming through the strategic integration of machine learning, genome editing, and autonomous robotics.

Novelty and Inventive Step

The new claims introduce a novel combination of machine learning, genome editing, and autonomous robotics in corn breeding and farming, which is not obvious from the original patent. The integration of these technologies enables a paradigm shift in the field, providing unprecedented precision, efficiency, and sustainability.

Alternative Embodiments and Variations

Alternative embodiments of the invention may include the use of different machine learning algorithms, various genome editing techniques, or diverse autonomous robotic systems. Additionally, the invention could be adapted for use with other crop varieties, such as soybeans or wheat, or integrated with other agricultural technologies, such as precision irrigation or vertical farming.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, particularly in the areas of precision farming, vertical farming, and autonomous agriculture. The target market includes large-scale commercial farmers, agricultural technology companies, and indoor agricultural facilities. The invention's potential to increase crop yields, reduce environmental impact, and improve disease resistance makes it an attractive solution for companies seeking to improve their sustainability and profitability.

CPC Classifications

SectionClassGroup
A A01 A01H6/4684
A A01 A01H5/10

Field of Art

Agricultural biotechnology, specifically corn breeding and genetic improvement, involving advanced techniques in plant genetics, genomic selection, and agricultural technology integration

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in plant genetics, biotechnology, or agricultural engineering, possessing expertise in genomic analysis, machine learning applications in breeding, and modern agricultural technologies

Obviousness Rationale

A PHOSITA would recognize that the integration of machine learning, genome editing, and autonomous robotics represents a natural technological progression in corn breeding, building directly on existing genetic selection and agricultural monitoring techniques disclosed in the source patent. The proposed variations leverage standard computational and biotechnological tools to extend the core breeding methodology of the original hybrid corn variety. These technological integrations represent predictable applications of known techniques to improve agricultural productivity and precision.

Obvious Combinations & Variations

Source Patent Element
Hybrid corn variety breeding methodology focused on trait selection and genetic crossing
PTD Variation
Machine learning algorithms used to predict and select desirable traits in subsequent corn generations
Obviousness Reasoning
Predictable extension of existing breeding techniques using computational tools, representing a known approach to accelerating genetic selection processes
Source Patent Element
Genetic variety development targeting improved yield and resistance
PTD Variation
Genome editing to introduce novel traits like drought tolerance and enhanced nutrient uptake
Obviousness Reasoning
Standard genetic engineering technique applying well-established CRISPR and gene modification technologies to expand crop capabilities
Source Patent Element
Corn plant variety with specific genetic characteristics
PTD Variation
Integration of sensors for real-time monitoring of plant growth and development
Obviousness Reasoning
Obvious application of Internet of Things (IoT) and sensor technologies to agricultural monitoring, representing a predictable technological enhancement
Source Patent Element
Corn breeding focused on improving agricultural productivity
PTD Variation
Vertical farming approach using precision climate control and LED lighting
Obviousness Reasoning
Logical extension of breeding goals into controlled environment agriculture, utilizing known technological solutions for optimizing crop production
Source Patent Element
Hybrid corn variety with specific genetic lineage
PTD Variation
Cloud-based platform for agricultural data analytics and robotic farming systems
Obviousness Reasoning
Predictable digital transformation of agricultural practices using standard cloud computing and robotics technologies
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the technological variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent straightforward applications of known computational, genetic, and agricultural technologies to the foundational breeding methodology of US Patent 11856913, thereby rendering potential derivative claims anticipated and non-patentable.

Original Patent Information

Patent NumberUS 11,856,913
TitlePlants and seeds of hybrid corn variety CH011009
Assignee(s)MONSANTO TECHNOLOGY LLC