Published Technical Disclosure Archive

AI-Powered Soybean Cultivation System: Gene Editing Tech

Publication ID: 24-11856917_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Soybean Cultivation System: Gene Editing Tech,” Published Technical Disclosure No. 24-11856917_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856917_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. 11,856,917.

Background and Problem Solved

The original soybean cultivar 02220303 patent addressed specific breeding objectives, but its limitations lie in its reliance on traditional breeding methods and lack of integration with cutting-edge technologies. The new invention tackles these limitations by introducing a holistic system that combines advanced sensors, machine learning, and gene editing to revolutionize soybean cultivation.

Novelty and Inventive Step

The new invention's novelty lies in its integration of disparate advanced technologies to create a comprehensive system that addresses multiple limitations of traditional soybean cultivation. The inventive step resides in the combination of precision farming, gene editing, and AI-driven disease monitoring to achieve unprecedented levels of soybean yield, disease resistance, and water retention.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different gene editing tools, such as TALEN or ZFN, or the integration of additional sensors, such as soil moisture sensors or weather stations. Variations of the system could also include different robotic farming units or alternative machine learning algorithms.

Potential Commercial Applications and Market

The Precision Soybean Cultivation and Enhancement System has significant commercial potential in the agricultural industry, particularly in regions with water scarcity or high disease prevalence. The system's ability to enhance soybean yield and disease resistance could lead to increased adoption in large-scale industrial farming, as well as in smaller-scale, precision farming operations.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Field of Art

Agricultural biotechnology, specifically soybean breeding and genetic engineering, involving advanced techniques in plant genomics, precision agriculture, and crop improvement technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in plant genetics, biotechnology, or agricultural engineering, familiar with gene editing techniques, crop breeding methodologies, and emerging precision farming technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed innovations represent predictable extensions of existing soybean breeding and agricultural technologies. The disclosed system integrates well-known techniques in gene editing, sensor technologies, and machine learning into a comprehensive soybean cultivation approach. The variations demonstrate standard problem-solving approaches in agricultural biotechnology by applying known techniques to address recognized challenges in crop production.

Obvious Combinations & Variations

Source Patent Element
Soybean cultivar breeding method disclosed in source patent
PTD Variation
CRISPR-Cas9 gene editing for introducing drought-tolerant and disease-resistant alleles
Obviousness Reasoning
Gene editing techniques are a predictable and known method for introducing desired traits in crop breeding, representing a standard approach for genetic improvement of plant varieties
Source Patent Element
Plant cell and tissue culture techniques from source patent
PTD Variation
Autonomous robotic farming units with integrated sensor arrays for precision agriculture
Obviousness Reasoning
Combining agricultural biotechnology with robotic and sensor technologies represents an obvious technological progression using known engineering principles
Source Patent Element
Soybean genetic modification approaches
PTD Variation
Machine learning platform for predicting optimal growing conditions and disease monitoring
Obviousness Reasoning
Application of AI and data analytics to agricultural systems is a predictable solution for improving crop management using well-established computational techniques
Source Patent Element
Plant breeding methodology for developing novel soybean varieties
PTD Variation
Vertically integrated farming system with decentralized autonomous farming units
Obviousness Reasoning
Scaling and systematizing agricultural production through technological integration represents an obvious approach to addressing agricultural efficiency challenges
Source Patent Element
Genetic characterization of soybean cultivar
PTD Variation
Hyperspectral imaging with drone-based disease detection system
Obviousness Reasoning
Applying advanced sensing technologies to plant disease monitoring is a predictable technological solution using standard remote sensing and diagnostic techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856917 and the comprehensive technological disclosures herein, a Person Having Ordinary Skill In The Art would find the claimed innovations obvious and lacking inventive step. The proposed variations represent predictable combinations of known techniques in agricultural biotechnology, gene editing, and precision farming, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,856,917
TitleSoybean cultivar 02220303
Assignee(s)M.S. Technologies, L.L.C.