Next-Gen Soybean Cultivar: AI-Enhanced Genetic Engineering

Publication ID: 24-11856917_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Gen Soybean Cultivar: AI-Enhanced Genetic Engineering,” Published Technical Disclosure No. 24-11856917_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856917_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. 11,856,917.

Background and Problem Solved

The original soybean cultivar 02220303 has limitations in terms of its yield potential, disease susceptibility, and environmental stress tolerance. The present invention addresses these limitations by leveraging recent breakthroughs in genetic engineering, genome editing, and artificial intelligence to create next-generation soybean cultivars that can thrive in diverse environmental conditions.

Novelty and Inventive Step

The new claims introduce several novel and non-obvious features, including the use of genetic engineering to confer abiotic stress resistance, machine learning-based phenotyping for yield potential, and genome editing for disease tolerance. These advancements represent a significant departure from the original patent and demonstrate a new level of sophistication in soybean breeding.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different biotechnologies, such as RNA interference or gene silencing, to achieve similar traits. Additionally, the invention could be adapted for use in other crop species, such as corn or wheat, to create a broader range of enhanced cultivars.

Potential Commercial Applications and Market

The next-generation soybean cultivars disclosed in this invention have significant commercial potential in the agricultural industry, particularly in regions with challenging environmental conditions. The integration of machine learning and precision agriculture could also create new opportunities for data-driven services and precision farming platforms.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Original Patent Information

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