Published Technical Disclosure Archive

AI-Powered Soybean Breeding: Precision Genome Innovation

Publication ID: 24-11856916_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Soybean Breeding: Precision Genome Innovation,” Published Technical Disclosure No. 24-11856916_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856916_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. 11,856,916.

Background and Problem Solved

The original patent for soybean cultivar 06380605 addressed the need for improved soybean germplasm. However, traditional breeding methods are time-consuming, labor-intensive, and limited in their ability to adapt to changing environmental conditions. This new invention addresses these limitations by introducing autonomous farming, precision breeding, and genome editing to create a more resilient and high-yielding soybean crop.

Novelty and Inventive Step

The new claims introduce a paradigm shift in soybean cultivation and breeding by integrating AI, machine learning, and blockchain technologies to create a more efficient, resilient, and high-yielding crop. The invention's autonomous farming, precision breeding, and genome editing components are novel and non-obvious compared to the original patent, which focused solely on traditional breeding methods.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of other AI algorithms, such as deep learning or natural language processing, to optimize soybean yield and disease resistance. Variations could also include the integration of additional sensors or monitoring systems to enhance the weather monitoring module or the use of different genome editing tools to introduce novel traits into the soybean plant.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agriculture industry, particularly in the areas of precision farming, vertical farming, and genome editing. The invention could be marketed to soybean farmers, agricultural companies, and research institutions, offering improved yields, increased disease resistance, and enhanced drought tolerance. The blockchain-based platform for predicting soybean yield and quality could also be marketed as a standalone product, providing valuable insights to farmers and agricultural companies.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Field of Art

Agricultural biotechnology and plant breeding, specifically focused on soybean cultivar development and genetic improvement, requiring expertise in plant genetics, molecular biology, and agricultural engineering

Person of Ordinary Skill (PHOSITA) Profile

A researcher or agricultural scientist with a PhD in plant breeding or genetics, familiar with advanced breeding techniques, genetic modification technologies, and computational approaches to crop improvement

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed technological extensions represent predictable applications of emerging agricultural technologies to the foundational soybean breeding approach disclosed in the source patent. The integration of AI, machine learning, and precision agriculture techniques are natural evolutionary steps in crop development that would be obvious to a skilled practitioner seeking to optimize breeding and cultivation processes. The proposed variations leverage well-established computational and biotechnological tools to address known challenges in soybean production.

Obvious Combinations & Variations

Source Patent Element
Traditional soybean breeding method involving crossing and selecting for desirable traits
PTD Variation
AI-driven seed selection algorithm and digital twin simulation for trait optimization
Obviousness Reasoning
Using machine learning to accelerate trait selection is a predictable application of computational techniques to existing breeding methodologies, representing an obvious enhancement to traditional breeding approaches
Source Patent Element
Genetic characterization of soybean cultivar 06380605
PTD Variation
Genome editing to introduce drought tolerance genes from non-soybean species
Obviousness Reasoning
Genetic modification and trait introgression are well-established techniques in plant breeding, with numerous precedents for transferring genes across species to enhance crop resilience
Source Patent Element
Soybean plant cultivation techniques
PTD Variation
Vertical farming system with hydroponic nutrient delivery and optimized LED lighting
Obviousness Reasoning
Controlled environment agriculture and alternative growing systems are known solutions for improving crop production, representing an obvious extension of traditional field cultivation methods
Source Patent Element
Soybean germplasm development process
PTD Variation
Blockchain-based platform for collecting and analyzing agricultural data
Obviousness Reasoning
Integrating data management and predictive analytics into agricultural research is a natural progression of existing data collection and analysis practices in plant breeding
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856916 and the technological context of soybean breeding, the variations disclosed herein would be considered obvious to a Person Having Ordinary Skill In The Art. The proposed technological extensions represent predictable combinations of known techniques in agricultural biotechnology, computational biology, and precision farming, thereby rendering potential patent claims obvious and anticipatable as a matter of law.

Original Patent Information

Patent NumberUS 11,856,916
TitleSoybean cultivar 06380605
Assignee(s)M.S. Technologies, L.L.C.